Li, K.[Kun],
Ioannou, P.,
Modeling of traffic flow of automated vehicles,
ITS(5), No. 2, June 2004, pp. 99-113.
IEEE Abstract.
0501
BibRef
Guan, W.[Wei],
A qualitative model of cross-lane inhomogeneities in traffic flow,
ITS(5), No. 3, September 2004, pp. 188-199.
IEEE Abstract.
0501
BibRef
Chen, D.W.[De-Wang],
Zhang, J.P.[Jun-Ping],
Tang, S.M.[Shu-Ming],
Wang, J.[Jue],
Freeway traffic stream modeling based on principal curves and its
analysis,
ITS(5), No. 4, December 2004, pp. 246-258.
IEEE Abstract.
0501
BibRef
Ni, D.,
Determining Traffic-Flow Characteristics by Definition for Application
in ITS,
ITS(8), No. 2, April 2007, pp. 181-187.
IEEE DOI
0706
BibRef
Qu, L.,
Li, L.,
Zhang, Y.,
Hu, J.,
PPCA-Based Missing Data Imputation for Traffic Flow Volume:
A Systematical Approach,
ITS(10), No. 3, September 2009, pp. 512-522.
IEEE DOI
0909
BibRef
Tampere, C.M.J.,
Hoogendoorn, S.P.[Serge P.],
van Arem, B.,
Continuous Traffic Flow Modeling of Driver Support Systems in
Multiclass Traffic With Intervehicle Communication and Drivers in the
Loop,
ITS(10), No. 4, December 2009, pp. 649-657.
IEEE DOI
0912
BibRef
Celikoglu, H.B.,
Dynamic Classification of Traffic Flow Patterns Simulated by a
Switching Multimode Discrete Cell Transmission Model,
ITS(15), No. 6, December 2014, pp. 2539-2550.
IEEE DOI
1412
cellular radio
BibRef
Jie, L.,
van Zuylen, H.J.,
Chen, Y.S.,
Lu, R.,
Comparison of driver behaviour and saturation flow in china and the
netherlands,
IET-ITS(6), No. 2, 2012, pp. 318-327.
DOI Link
1209
BibRef
Khabbaz, M.J.,
Fawaz, W.F.,
Assi, C.M.,
A Simple Free-Flow Traffic Model for Vehicular Intermittently Connected
Networks,
ITS(13), No. 3, September 2012, pp. 1312-1326.
IEEE DOI
1209
BibRef
Castillo, E.,
Calvino, A.,
Menendez, J.M.,
Jimenez, P.,
Rivas, A.,
Deriving the Upper Bound of the Number of Sensors Required to
Know All Link Flows in a Traffic Network,
ITS(14), No. 2, 2013, pp. 761-771.
IEEE DOI
1307
Observability; Upper bound; Link flow estimation; optimal sensor location
BibRef
Yuen, J.K.K.,
Lee, E.W.M.,
Lo, S.M.,
Yuen, R.K.K.,
An Intelligence-Based Optimization Model of Passenger Flow in a
Transportation Station,
ITS(14), No. 3, 2013, pp. 1290-1300.
IEEE DOI
1309
Artificial neural network (ANN)
BibRef
Pirisi, A.,
Mussetta, M.,
Grimaccia, F.,
Zich, R.E.,
Novel Speed-Bump Design and Optimization for Energy Harvesting From
Traffic,
ITS(14), No. 4, 2013, pp. 1983-1991.
IEEE DOI
1312
Algorithm design and analysis
BibRef
Tomás, V.R.[Vicente R.],
Castells, M.P.[Marta Pla],
Samper, J.J.[J. Javier],
Soriano, F.R.[Francisco R.],
Intelligent transport systems harmonisation assessment: Use case of
some Spanish intelligent transport systems services,
IET-ITS(7), No. 3, September 2013, pp. 361-370.
DOI Link
1402
road traffic
BibRef
Han, Y.F.[Yu-Fei],
Moutarde, F.,
Statistical traffic state analysis in large-scale transportation
networks using locality-preserving non-negative matrix factorisation,
IET-ITS(7), No. 3, September 2013, pp. 283-295.
DOI Link
1402
data analysis
BibRef
Kulmala, R.,
Mans, D.,
El-Araby, K.,
Penttinen, M.,
How to infer impacts of ITS services in different user cases,
IET-ITS(7), No. 3, September 2013, pp. 275-282.
DOI Link
1402
automated highways
BibRef
Yu, R.J.[Rong-Jie],
Abdel-Aty, M.A.,
Ahmed, M.M.,
Wang, X.S.[Xue-Song],
Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time
Crash Patterns in the Context of Active Traffic Management,
ITS(15), No. 1, February 2014, pp. 205-213.
IEEE DOI
1403
Bayes methods
BibRef
Ciuffo, B.,
Punzo, V.,
'No Free Lunch' Theorems Applied to the Calibration of Traffic
Simulation Models,
ITS(15), No. 2, April 2014, pp. 553-562.
IEEE DOI
1404
Analytical models
BibRef
Li, J.,
Bandwidth Synchronization Under Progression Time Uncertainty,
ITS(15), No. 2, April 2014, pp. 749-759.
IEEE DOI
1404
Bandwidth
BibRef
Demeyer, S.,
Audenaert, P.,
Pickavet, M.,
Demeester, P.,
Dynamic and stochastic routing for multimodal transportation systems,
IET-ITS(8), No. 2, March 2014, pp. 112-123.
DOI Link
1406
graph theory
BibRef
Boukouvalas, A.,
Sykes, P.,
Cornford, D.,
Maruri-Aguilar, H.,
Bayesian Precalibration of a Large Stochastic Microsimulation Model,
ITS(15), No. 3, June 2014, pp. 1337-1347.
IEEE DOI
1407
Calibration
BibRef
Li, L.,
Chen, X.,
Zhang, L.,
Multimodel Ensemble for Freeway Traffic State Estimations,
ITS(15), No. 3, June 2014, pp. 1323-1336.
IEEE DOI
1407
Equations
BibRef
Xu, T.,
Hao, Y.,
Peng, Z.,
Sun, L.,
Anticipatory traveller information system for freeway-arterial
networks,
IET-ITS(8), No. 3, May 2014, pp. 286-297.
DOI Link
1407
BibRef
Jagadeesh, G.R.,
Dhinesh, G.R.,
Srikanthan, T.,
Method for accuracy assessment of aggregated freeway traffic data,
IET-ITS(8), No. 4, June 2014, pp. 407-414.
DOI Link
1407
BibRef
Stocker, M.,
Ronkko, M.,
Kolehmainen, M.,
Situational Knowledge Representation for Traffic Observed by a
Pavement Vibration Sensor Network,
ITS(15), No. 4, August 2014, pp. 1441-1450.
IEEE DOI
1410
knowledge representation
BibRef
Lin, S.[Shu],
Kong, Q.J.[Qing-Jie],
Huang, Q.M.[Qing-Ming],
A Simulation Analysis on the Existence of Network Traffic Flow
Equilibria,
ITS(15), No. 4, August 2014, pp. 1706-1713.
IEEE DOI
1410
road traffic control
BibRef
Upton, E.,
Nuttall, W.J.,
Fuel Panics: Insights From Spatial Agent-Based Simulation,
ITS(15), No. 4, August 2014, pp. 1499-1509.
IEEE DOI
1410
multi-agent systems
BibRef
Chen, S.H.[Song-Hang],
Zhu, F.H.[Feng-Hua],
Cao, J.P.[Jian-Ping],
Growing Spatially Embedded Social Networks for Activity-Travel
Analysis Based on Artificial Transportation Systems,
ITS(15), No. 5, October 2014, pp. 2111-2120.
IEEE DOI
1410
behavioural sciences computing
BibRef
Monteil, J.,
Nantes, A.,
Billot, R.,
Sau, J.,
El Faouzi, N.E.,
Microscopic cooperative traffic flow: Calibration and simulation
based on a next generation simulation dataset,
IET-ITS(8), No. 6, September 2014, pp. 519-525.
DOI Link
1411
digital simulation
BibRef
Bottero, M.,
Chiara, B.D.[B. Dalla],
Deflorio, F.,
Franco, G.,
Spessa, E.,
Model-based approach for estimating energy used by traffic flows on
motorways with ITS,
IET-ITS(8), No. 7, 2014, pp. 598-607.
DOI Link
1411
fuel economy
BibRef
Yan, S.Y.[Shang-Yao],
Chu, J.C.,
Shih, Y.L.[Yu-Lin],
Optimal Scheduling for Highway Emergency Repairs Under Large-Scale
Supply-Demand Perturbations,
ITS(15), No. 6, December 2014, pp. 2378-2393.
IEEE DOI
1412
ant colony optimisation
BibRef
Yang, B.D.[Bing-Duo],
Wang, S.G.[Sheng-Guo],
Bao, Y.[Yuanlu],
New Efficient Regression Method for Local AADT Estimation via SCAD
Variable Selection,
ITS(15), No. 6, December 2014, pp. 2726-2731.
IEEE DOI
1412
regression analysis.
local annual average daily traffic.
BibRef
Punzo, V.,
Montanino, M.,
Ciuffo, B.,
Do We Really Need to Calibrate All the Parameters? Variance-Based
Sensitivity Analysis to Simplify Microscopic Traffic Flow Models,
ITS(16), No. 1, February 2015, pp. 184-193.
IEEE DOI
1502
Analytical models
BibRef
Laftchiev, E.I.,
Lagoa, C.M.,
Brennan, S.N.,
Vehicle Localization Using In-Vehicle Pitch Data and Dynamical Models,
ITS(16), No. 1, February 2015, pp. 206-220.
IEEE DOI
1502
Computational modeling
BibRef
Magana, V.C.[V. Corcoba],
Munoz-Organero, M.,
Discovering Regions Where Users Drive Inefficiently on Regular
Journeys,
ITS(16), No. 1, February 2015, pp. 221-234.
IEEE DOI
1502
Acceleration
BibRef
Hamdar, S.H.,
Talebpour, A.,
Dong, J.,
Travel Time Reliability Versus Safety:
A Stochastic Hazard-Based Modeling Approach,
ITS(16), No. 1, February 2015, pp. 264-273.
IEEE DOI
1502
Acceleration
BibRef
Tchrakian, T.T.,
Zhuk, S.,
A Macroscopic Traffic Data-Assimilation Framework Based on the
Fourier-Galerkin Method and Minimax Estimation,
ITS(16), No. 1, February 2015, pp. 452-464.
IEEE DOI
1502
Computational modeling
BibRef
Attal, F.,
Boubezoul, A.,
Oukhellou, L.,
Espie, S.,
Powered Two-Wheeler Riding Pattern Recognition Using a
Machine-Learning Framework,
ITS(16), No. 1, February 2015, pp. 475-487.
IEEE DOI
1502
Accelerometers
BibRef
Xing, J.[Jian],
Characteristics of wrong-way driving on motorways in Japan,
IET-ITS(9), No. 1, 2015, pp. 3-11.
DOI Link
1503
behavioural sciences computing
BibRef
Liu, Y.[Yang],
Zhu, N.[Ning],
Ma, S.F.[Shou-Feng],
Jia, N.[Ning],
Traffic sensor location approach for flow inference,
IET-ITS(9), No. 2, 2015, pp. 184-192.
DOI Link
1504
ant colony optimisation
BibRef
Diakaki, C.,
Papageorgiou, M.,
Dinopoulou, V.,
Papamichail, I.,
Garyfalia, M.,
State-of-the-art and -practice review of public transport priority
strategies,
IET-ITS(9), No. 4, 2015, pp. 391-406.
DOI Link
1506
transportation
BibRef
Laharotte, P.,
Billot, R.,
Come, E.,
Oukhellou, L.,
Nantes, A.,
El Faouzi, N.,
Spatiotemporal Analysis of Bluetooth Data:
Application to a Large Urban Network,
ITS(16), No. 3, June 2015, pp. 1439-1448.
IEEE DOI
1506
Bluetooth
BibRef
Pereira, F.C.,
Rodrigues, F.,
Polisciuc, E.,
Ben-Akiva, M.,
Why so many people? Explaining Nonhabitual Transport Overcrowding
With Internet Data,
ITS(16), No. 3, June 2015, pp. 1370-1379.
IEEE DOI
1506
Bayes methods
BibRef
Kieu, L.M.,
Bhaskar, A.,
Chung, E.,
Passenger Segmentation Using Smart Card Data,
ITS(16), No. 3, June 2015, pp. 1537-1548.
IEEE DOI
1506
Algorithm design and analysis
BibRef
Yao, E.[Enjian],
Lang, Z.F.[Zhi-Feng],
Yang, Y.[Yang],
Zhang, Y.S.[Yong-Sheng],
Vehicle routing problem solution considering minimising fuel
consumption,
IET-ITS(9), No. 5, 2015, pp. 523-529.
DOI Link
1507
ant colony optimisation
BibRef
d'Andrea, E.,
Ducange, P.,
Lazzerini, B.,
Marcelloni, F.,
Real-Time Detection of Traffic From Twitter Stream Analysis,
ITS(16), No. 4, August 2015, pp. 2269-2283.
IEEE DOI
1508
Event detection
BibRef
Pilli-Sihvola, E.,
Aapaoja, A.,
Leviakangas, P.,
Kinnunen, T.,
Hautala, R.,
Takahashi, N.,
Evolving winter road maintenance ecosystems in Finland and Hokkaido,
Japan,
IET-ITS(9), No. 6, 2015, pp. 633-638.
DOI Link
1509
maintenance engineering
BibRef
Naujoks, F.,
Grattenthaler, H.,
Neukum, A.,
Weidl, G.,
Petrich, D.,
Effectiveness of advisory warnings based on cooperative perception,
IET-ITS(9), No. 6, 2015, pp. 606-617.
DOI Link
1509
road safety
BibRef
Ngan, H.Y.,
Yung, N.H.,
Yeh, A.G.,
Outlier detection in traffic data based on the Dirichlet process
mixture model,
IET-ITS(9), No. 7, 2015, pp. 773-781.
DOI Link
1509
data handling
BibRef
del Arco, E.,
Morgado, E.,
Chidean, M.I.,
Ramiro-Bargueno, J.,
Mora-Jimenez, I.,
Caamano, A.J.,
Sparse Vehicular Sensor Networks for Traffic Dynamics Reconstruction,
ITS(16), No. 5, October 2015, pp. 2826-2837.
IEEE DOI
1511
interpolation
BibRef
Tan, Z.[Zhen],
Xia, Y.J.[Ying-Jie],
Yang, Q.[Qinmin],
Zhou, G.M.[Guo-Min],
Adaptive fine pollutant discharge control for motor vehicles tunnels
under traffic state transition,
IET-ITS(9), No. 8, 2015, pp. 783-791.
DOI Link
1511
adaptive control
BibRef
Cai, Y.F.[Ying-Feng],
Wang, H.[Hai],
Chen, X.B.[Xiao-Bo],
Jiang, H.B.[Hao-Bin],
Trajectory-based anomalous behaviour detection for intelligent
traffic surveillance,
IET-ITS(9), No. 8, 2015, pp. 810-816.
DOI Link
1511
hidden Markov models
BibRef
Balouchzahi, N.M.,
Fathy, M.,
Akbari, A.,
Optimal road side units placement model based on binary integer
programming for efficient traffic information advertisement and
discovery in vehicular environment,
IET-ITS(9), No. 9, 2015, pp. 851-861.
DOI Link
1511
integer programming
BibRef
Jerry, K.,
Yujun, K.,
Kwasi, O.,
Enzhan, Z.,
Parfait, T.,
NetLogo implementation of an ant colony optimisation solution to the
traffic problem,
IET-ITS(9), No. 9, 2015, pp. 862-869.
DOI Link
1511
ant colony optimisation
BibRef
Kim, K.,
Lee, J.,
Lee, W.,
A MAC Protocol Using Road Traffic Estimation for
Infrastructure-to-Vehicle Communications on Highways,
ITS(14), No. 3, 2013, pp. 1500-1509.
IEEE DOI
1309
Fairness
BibRef
Tang, L.L.[Lu-Liang],
Yang, X.[Xue],
Dong, Z.,
Li, Q.Q.[Qing-Quan],
CLRIC: Collecting Lane-Based Road Information Via Crowdsourcing,
ITS(17), No. 9, September 2016, pp. 2552-2562.
IEEE DOI
1609
Crowdsourcing
BibRef
Frejo, J.R.D.,
Papamichail, I.,
Papageorgiou, M.,
Camacho, E.F.,
Macroscopic Modeling and Control of Reversible Lanes on Freeways,
ITS(17), No. 4, April 2016, pp. 948-959.
IEEE DOI
1604
Adaptation models
BibRef
Yin, B.,
Dridi, M.,
El Moudni, A.,
Traffic network micro-simulation model and control algorithm based on
approximate dynamic programming,
IET-ITS(10), No. 3, 2016, pp. 186-196.
DOI Link
1604
adaptive control
BibRef
Tak, S.,
Woo, S.,
Yeo, H.,
Data-Driven Imputation Method for Traffic Data in Sectional Units of
Road Links,
ITS(17), No. 6, June 2016, pp. 1762-1771.
IEEE DOI
1606
Correlation
BibRef
Liu, Z.,
Li, Z.,
Li, M.,
Xing, W.,
Lu, D.,
Mining Road Network Correlation for Traffic Estimation via
Compressive Sensing,
ITS(17), No. 7, July 2016, pp. 1880-1893.
IEEE DOI
1608
compressed sensing
BibRef
Mo, H.,
Hao, X.,
Zheng, H.,
Liu, Z.,
Wen, D.,
Linguistic Dynamic Analysis of Traffic Flow Based on Social Media:
A Case Study,
ITS(17), No. 9, September 2016, pp. 2668-2676.
IEEE DOI
1609
Law enforcement
BibRef
Meissner, E.,
Chantem, T.,
Heaslip, K.,
Optimizing Departures of Automated Vehicles From Highways While
Maintaining Mainline Capacity,
ITS(17), No. 12, December 2016, pp. 3498-3511.
IEEE DOI
1612
Acceleration
BibRef
Wang, X.,
El-Tawab, S.,
Alhafdhi, A.,
Almalag, M.,
Olariu, S.,
Toward Probabilistic Data Collection in the NOTICE Architecture,
ITS(17), No. 12, December 2016, pp. 3354-3363.
IEEE DOI
1612
Aggregates
BibRef
Chaniotakis, E.,
Antoniou, C.,
Pereira, F.,
Mapping Social Media for Transportation Studies,
IEEE_Int_Sys(31), No. 6, November 2016, pp. 64-70.
IEEE DOI
1612
intelligent transportation systems
BibRef
Chen, H.P.[Hui-Ping],
Chen, B.Y.[Bi Yu],
Wang, Y.[Yafei],
Li, Q.Q.[Qing-Quan],
Efficient Geo-Computational Algorithms for Constructing Space-Time
Prisms in Road Networks,
IJGI(5), No. 11, 2016, pp. 214.
DOI Link
1612
Human activity travel behavior
BibRef
Fulari, S.G.,
Vanajakshi, L.,
Subramanian, S.C.,
Addressing errors in automated sensor data for real-time traffic
state estimation using dynamical systems approach,
IET-ITS(10), No. 10, 2016, pp. 683-690.
DOI Link
1701
Kalman filters
BibRef
Florin, R.[Ryan],
Olariu, S.[Stephan],
On a Variant of the Mobile Observer Method,
ITS(18), No. 2, February 2017, pp. 441-449.
IEEE DOI
1702
Automobiles
BibRef
Zhou, Y.[Yan],
Dey, K.C.[Kakan Chandra],
Chowdhury, M.[Mashrur],
Wang, K.C.[Kuang-Ching],
Process for evaluating the data transfer performance of wireless
traffic sensors for real-time intelligent transportation systems
applications,
IET-ITS(11), No. 1, February 2017, pp. 18-27.
DOI Link
1703
BibRef
He, Z.,
Zheng, L.,
Song, L.,
Zhu, N.,
A Jam-Absorption Driving Strategy for Mitigating Traffic Oscillations,
ITS(18), No. 4, April 2017, pp. 802-813.
IEEE DOI
1704
Acceleration
BibRef
Deflorio, F.,
Castello, L.,
Assessing the performance of a charge-while-driving system in urban
arterial roads: insight from a microsimulation model,
IET-ITS(9), No. 5, 2015, pp. 505-514.
DOI Link
1507
road traffic
BibRef
Won, M.,
Park, T.,
Son, S.H.,
Toward Mitigating Phantom Jam Using Vehicle-to-Vehicle Communication,
ITS(18), No. 5, May 2017, pp. 1313-1324.
IEEE DOI
1705
Fuzzy logic, Phantoms, Protocols, Road transportation,
Vehicle dynamics, Vehicles, Vehicular ad hoc networks,
Intelligent transportation systems, phantom jams,
three-phase traffic theory, traffic jams, vehicle-to-vehicle,
(V2V), communication
BibRef
Stolcis, C.[Christian],
Pfannerstill, E.[Elmar],
Clustered swarm: a live swarm-based traffic load balancing algorithm
against traffic jams,
IET-ITS(11), No. 3, April 2017, pp. 134-141.
DOI Link
1705
BibRef
Bragard, Q.,
Ventresque, A.,
Murphy, L.,
Self-Balancing Decentralized Distributed Platform for Urban Traffic
Simulation,
ITS(18), No. 5, May 2017, pp. 1190-1197.
IEEE DOI
1705
Computational modeling, Heuristic algorithms, Load modeling,
Microscopy, Synchronization, Vehicle dynamics, Vehicles,
Distributed simulation, dynamic load-balancing, time-stepped, simulation
BibRef
Ma, Y.J.[Yun-Jia],
Xu, W.[Wei],
Zhao, X.J.[Xiu-Juan],
Li, Y.[Ying],
Modeling the Hourly Distribution of Population at a High
Spatiotemporal Resolution Using Subway Smart Card Data:
A Case Study in the Central Area of Beijing,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Mocholí-Salcedo, A.,
Arroyo-Núñez, J.H.,
Milián-Sánchez, V.M.,
Verdú-Martín, G.J.,
Arroyo-Núñez, A.,
Traffic Control Magnetic Loops Electric Characteristics Variation Due
to the Passage of Vehicles Over Them,
ITS(18), No. 6, June 2017, pp. 1540-1548.
IEEE DOI
1706
Coils, Inductance, Integrated circuit modeling, Magnetic cores,
Magnetic resonance, Mathematical model, Vehicles,
Inductance in rectangular coils, inductive communication,
magnetic field, magnetic profile, numerical calculation, vehicle, detection
BibRef
Mocholí-Salcedo, A.,
Arroyo-Núñez, J.H.,
Milián-Sánchez, V.M.,
Palomo-Anaya, M.J.,
Arroyo-Núñez, A.,
Magnetic Field Generated by the Loops Used in Traffic Control Systems,
ITS(18), No. 8, August 2017, pp. 2126-2136.
IEEE DOI
1708
Conductors, Control systems, Inductance, Magnetic analysis,
Magnetic fields, Resistance, Vehicles,
Inductance in rectangular coils, inductive communication,
magnetic field, numerical calculation, vehicle, detection
BibRef
Fredette, D.,
Özguner, Ü.,
Swarm-Inspired Modeling of a Highway System With Stability Analysis,
ITS(18), No. 6, June 2017, pp. 1371-1379.
IEEE DOI
1706
Analytical models, Force, Mathematical model, Roads,
Stability analysis, Vehicles, Control systems, analytical models,
automated highways, autonomous vehicles, interconnected systems,
multi-agent, systems
BibRef
Tang, L.L.[Lu-Liang],
Zou, Q.Q.[Qian-Qian],
Zhang, X.[Xia],
Ren, C.[Chang],
Li, Q.Q.[Qing-Quan],
Spatio-Temporal Behavior Analysis and Pheromone-Based Fusion Model
for Big Trace Data,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Li, J.W.[Ji-Wei],
Qian, J.[Jing],
Liu, Y.L.[Yao-Lin],
A Novel Analysis Method of Geographical Centrality Based on Space of
Flows,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link
1706
Flows.
BibRef
Ye, P.,
Wen, D.,
Optimal Traffic Sensor Location for Origin-Destination Estimation
Using a Compressed Sensing Framework,
ITS(18), No. 7, July 2017, pp. 1857-1866.
IEEE DOI
1706
Coherence, Compressed sensing, Estimation, Minimization,
Optimization, Sparse matrices, Transportation,
Traffic sensor location, compressed sensing, traffic, flow, estimation
BibRef
Khan, S.M.,
Dey, K.C.,
Chowdhury, M.,
Real-Time Traffic State Estimation With Connected Vehicles,
ITS(18), No. 7, July 2017, pp. 1687-1699.
IEEE DOI
1706
Algorithm design and analysis, Detectors, Estimation,
Real-time systems, Traffic control, Transportation,
Wireless communication, Connected vehicles, LOS, PeMS,
artificial intelligence, density estimation, loop, detector
BibRef
Katsuki, T.,
Morimura, T.,
Inoue, M.,
Traffic Velocity Estimation From Vehicle Count Sequences,
ITS(18), No. 7, July 2017, pp. 1700-1712.
IEEE DOI
1706
Cameras, Correlation, Estimation, Roads, Sensors, Vehicles,
Bayes procedures, Intelligent transportation systems,
unsupervised learning, velocity, measurement
BibRef
Elhoushi, M.,
Georgy, J.,
Noureldin, A.,
Korenberg, M.J.,
A Survey on Approaches of Motion Mode Recognition Using Sensors,
ITS(18), No. 7, July 2017, pp. 1662-1686.
IEEE DOI
1706
Energy consumption, Feature extraction, Legged locomotion,
Monitoring, Navigation, Robot sensing systems,
Activity recognition, machine learning, motion detection,
navigation, sensor fusion
BibRef
Ramazani, A.[Azam],
Vahdat-Nejad, H.[Hamed],
CANS: context-aware traffic estimation and navigation system,
IET-ITS(11), No. 6, August 2017, pp. 326-333.
DOI Link
1707
BibRef
Shi, X.Y.[Xiao-Ying],
Yu, Z.H.[Zhen-Hai],
Fang, Q.M.[Qi-Ming],
Zhou, Q.[Quan],
A Visual Analysis Approach for Inferring Personal Job and Housing
Locations Based on Public Bicycle Data,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Bai, J.W.[Jun-Wen],
Zhang, P.[Penglin],
Du, J.[Juan],
Li, Z.[Zheng],
A Spatial Analysis Approach for Evaluating the Service Capability of
Urban Greenways: A Case Study in Wuhan,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Wan, Y.[You],
Zhou, C.H.[Cheng-Hu],
Pei, T.[Tao],
Semantic-Geographic Trajectory Pattern Mining Based on a New
Similarity Measurement,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Hu, X.,
Chiu, Y.C.,
Villalobos, J.A.,
Nava, E.,
A Sequential Decomposition Framework and Method for Calibrating
Dynamic Origin-Destination Demand in a Congested Network,
ITS(18), No. 10, October 2017, pp. 2790-2797.
IEEE DOI
1710
Calibration, Computational modeling, Data models, Estimation,
Intelligent transportation systems, Solid modeling,
Vehicle dynamics, O-D calibration, dynamic traffic assignment,
one-norm formulation, shockwave propagation, simulation, model, calibration
BibRef
Katomero, J.[Jesper],
Georgiadou, Y.[Yola],
Lungo, J.[Juma],
Hoppe, R.[Robert],
Tensions in Rural Water Governance: The Elusive Functioning of Rural
Water Points in Tanzania,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link
1710
BibRef
Molloy, J.[Joseph],
Moeckel, R.[Rolf],
Improving Destination Choice Modeling Using Location-Based Big Data,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link
1710
Analysis of "check in" data.
BibRef
Feng, S.[Shuo],
Ke, R.M.[Rui-Min],
Wang, X.M.[Xing-Min],
Zhang, Y.[Yi],
Li, L.[Li],
Traffic flow data compression considering burst components,
IET-ITS(11), No. 9, November 2017, pp. 572-580.
DOI Link
1710
BibRef
Liu, K.[Kang],
Gao, S.[Song],
Qiu, P.[Peiyuan],
Liu, X.L.[Xi-Liang],
Yan, B.[Bo],
Lu, F.[Feng],
Road2Vec: Measuring Traffic Interactions in Urban Road System from
Massive Travel Routes,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Wong, D.W.S.[David W. S.],
Huang, Q.[Qunying],
'Voting with Their Feet': Delineating the Sphere of Influence Using
Social Media Data,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Pascale, A.,
Nicoli, M.,
Deflorio, F.,
Dalla Chiara, B.,
Spagnolini, U.,
Wireless sensor networks for traffic management and road safety,
IET-ITS(6), No. 1, March 2012, pp. 67-77.
DOI Link
1712
Award, IET IPR Premium.
BibRef
Zhang, J.B.[Jian-Bo],
Song, G.H.[Guo-Hua],
Gong, D.P.[Da-Peng],
Gao, Y.[Yong],
Yu, L.[Lei],
Guo, J.[Jifu],
Analysis of rainfall effects on road travel speed in Beijing, China,
IET-ITS(12), No. 2, March 2018, pp. 93-102.
DOI Link
1801
BibRef
Ma, Y.S.[Yong-Sai],
Wang, Y.[Yang],
Xu, G.L.[Guang-Luan],
Tai, X.Q.[Xian-Qing],
Multilevel Visualization of Travelogue Trajectory Data,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link
1801
BibRef
Li, L.C.[Lin-Chao],
Zhang, J.[Jian],
Yang, F.[Fan],
Ran, B.[Bin],
Robust and flexible strategy for missing data imputation in intelligent
transportation system,
IET-ITS(12), No. 2, March 2018, pp. 151-157.
DOI Link
1801
BibRef
Arguedas, V.F.[V. Fernandez],
Pallotta, G.,
Vespe, M.,
Maritime Traffic Networks: From Historical Positioning Data to
Unsupervised Maritime Traffic Monitoring,
ITS(19), No. 3, March 2018, pp. 722-732.
IEEE DOI
1804
Artificial intelligence, Data mining, Navigation, Security, Sensors,
Surveillance, AIS, Maritime traffic representation,
traffic monitoring
BibRef
Samani, Z.N.[Zeinab Neisani],
Karimi, M.[Mohammad],
Alesheikh, A.A.[Ali Asghar],
A Novel Approach to Site Selection: Collaborative Multi-Criteria
Decision Making through Geo-Social Network (Case Study: Public
Parking),
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Kong, S.H.,
Jeon, S.Y.,
Cooperative Positioning Technique With Decentralized Malicious
Vehicle Detection,
ITS(19), No. 3, March 2018, pp. 826-838.
IEEE DOI
1804
BibRef
And:
Correction to Second author name.
ITS(19), No. 5, May 2018, pp. 1676-1676.
IEEE DOI
1805
Delays, Distance measurement, Global Positioning System,
Reliability, Satellites, Vehicle detection,
malicious vehicle
BibRef
Hasan, S.,
Ukkusuri, S.V.,
Reconstructing Activity Location Sequences From Incomplete Check-In
Data: A Semi-Markov Continuous-Time Bayesian Network Model,
ITS(19), No. 3, March 2018, pp. 687-698.
IEEE DOI
1804
Data models, Hidden Markov models, Markov processes,
Probabilistic logic, Social network services, Timing, Trajectory,
trajectory mining
BibRef
Zhang, X.G.[Xiao-Ge],
Mahadevan, S.[Sankaran],
A Bio-Inspired Approach to Traffic Network Equilibrium Assignment
Problem,
Cyber(48), No. 4, April 2018, pp. 1304-1315.
IEEE DOI
1804
Approximation algorithms, Electron tubes, Heuristic algorithms,
Joining processes, Mathematical model, Optimization,
user equilibrium
BibRef
Stemberk, J.[Josef],
Dolejs, J.[Josef],
Maresova, P.[Petra],
Kuca, K.[Kamil],
Factors Affecting the Number of Visitors in National Parks in the
Czech Republic, Germany and Austria,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Goulet-Langlois, G.,
Koutsopoulos, H.N.,
Zhao, Z.,
Zhao, J.,
Measuring Regularity of Individual Travel Patterns,
ITS(19), No. 5, May 2018, pp. 1583-1592.
IEEE DOI
1805
Entropy, Environmental engineering, Frequency measurement,
Intelligent transportation systems, Smart cards,
travel behavior
BibRef
Bauer, D.,
Richter, G.,
Asamer, J.,
Heilmann, B.,
Lenz, G.,
Kölbl, R.,
Quasi-Dynamic Estimation of OD Flows From Traffic Counts Without
Prior OD Matrix,
ITS(19), No. 6, June 2018, pp. 2025-2034.
IEEE DOI
1806
Entropy, Estimation, Public transportation, Road transportation,
Sensors, Urban areas, Origin-destination flow estimation,
quasi-dynamic assumption
BibRef
Jiang, H.,
Luo, W.,
Zhao, D.,
A Novel Negative Location Collection Method for Finding Aggregated
Locations,
ITS(19), No. 6, June 2018, pp. 1741-1753.
IEEE DOI
1806
Aggregates, Cryptography, Intelligent transportation systems,
Mobile handsets, Privacy, Servers, Privacy, location privacy,
trace privacy
BibRef
Hong, Z.,
Chen, Y.,
Mahmassani, H.S.,
Recognizing Network Trip Patterns Using a Spatio-Temporal Vehicle
Trajectory Clustering Algorithm,
ITS(19), No. 8, August 2018, pp. 2548-2557.
IEEE DOI
1808
Trajectory, Clustering algorithms, Data mining,
Algorithm design and analysis, Roads, Spatial databases,
shortest path distance
BibRef
Tang, T.[Tao],
Dong, X.[Xin],
Wang, J.Z.[Jin-Zhong],
Kong, X.J.[Xiang-Jie],
Rahim, A.[Azizur],
Yu, X.N.[Xuan-Nian],
Li, Y.L.[Yu-Lin],
FISS: function identification of subway stations based on semantics
mining and functional clustering,
IET-ITS(12), No. 7, September 2018, pp. 558-567.
DOI Link
1808
BibRef
Zheng, L.[Li],
Sun, M.[Meng],
Luo, Y.J.[Yue-Jun],
Song, X.B.[Xiang-Bo],
Yang, C.W.[Chao-Wei],
Hu, F.[Fei],
Yu, M.Z.[Man-Zhu],
Utilizing MapReduce to Improve Probe-Car Track Data Mining,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link
1808
Probe-car for real-time traffice.
BibRef
Zhu, Z.[Zheng],
Xiong, C.F.[Chen-Feng],
Chen, X.M.[Xiqun Michael],
Zhang, L.[Lei],
Calibrating supply parameters of large-scale DTA models with
surrogate-based optimisation,
IET-ITS(12), No. 7, September 2018, pp. 642-650.
DOI Link
1808
large-scale dynamic traffic assignment.
BibRef
Li, W.[Weizi],
Jiang, M.L.[Mei-Lei],
Chen, Y.[Yaoyu],
Lin, M.C.[Ming C.],
Estimating urban traffic states using iterative refinement and Wardrop
equilibria,
IET-ITS(12), No. 8, October 2018, pp. 875-883.
DOI Link
1809
BibRef
Horn, B.K.P.,
Wang, L.,
Wave Equation of Suppressed Traffic Flow Instabilities,
ITS(19), No. 9, September 2018, pp. 2955-2964.
IEEE DOI
1809
Automobiles, Acceleration, Propagation, Control systems,
Perturbation methods, Mathematical model, Stability analysis,
damped wave equation
BibRef
Lindorfer, M.,
Mecklenbräuker, C.F.,
Ostermayer, G.,
Modeling the Imperfect Driver: Incorporating Human Factors in a
Microscopic Traffic Model,
ITS(19), No. 9, September 2018, pp. 2856-2870.
IEEE DOI
1809
Vehicles, Human factors, Microscopy, Computational modeling,
Acceleration, Vehicle dynamics, Analytical models, Car-following,
simulation
BibRef
Aghdam, A.H.[Arash Hazeghi],
Alesheikh, A.A.[Ali Asghar],
Predicting the future location of cars on urban street network by
chaining spatial web services,
IET-ITS(12), No. 8, October 2018, pp. 793-800.
DOI Link
1809
BibRef
Song, T.J.[Tai-Jin],
Williams, B.M.[Billy M.],
Rouphail, N.M.[Nagui M.],
Data-driven approach for identifying spatiotemporally recurrent
bottlenecks,
IET-ITS(12), No. 8, October 2018, pp. 756-764.
DOI Link
1809
BibRef
Demiroluk, S.[Sami],
Ozbay, K.[Kaan],
Nassif, H.[Hani],
Mapping of truck traffic in New Jersey using weigh-in-motion data,
IET-ITS(12), No. 9, November 2018, pp. 1053-1061.
DOI Link
1810
BibRef
Wen, T.[Tao],
Cai, C.[Chen],
Gardner, L.[Lauren],
Waller, S.T.[Steven Travis],
Dixit, V.[Vinayak],
Chen, F.[Fang],
Estimation of sparse O-D matrix accounting for demand volatility,
IET-ITS(12), No. 9, November 2018, pp. 1020-1026.
DOI Link
1810
Origin-destination (O-D) demand estimation.
BibRef
Cao, P.[Peng],
Fan, Q.C.[Qiao-Chu],
Liu, X.B.[Xiao-Bo],
Real-time detection of end-of-queue shockwaves on freeways using probe
vehicles with spacing equipment,
IET-ITS(12), No. 10, December 2018, pp. 1227-1235.
DOI Link
1812
BibRef
Zhu, M.L.[Mei-Ling],
Liu, C.[Chen],
Han, Y.B.[Yan-Bo],
Approach to discovering companion patterns based on traffic data stream,
IET-ITS(12), No. 10, December 2018, pp. 1351-1359.
DOI Link
1812
BibRef
Alesiani, F.,
Moreira-Matias, L.,
Faizrahnemoon, M.,
On Learning From Inaccurate and Incomplete Traffic Flow Data,
ITS(19), No. 11, November 2018, pp. 3698-3708.
IEEE DOI
1812
data mining, learning (artificial intelligence), road traffic,
traffic engineering computing, incomplete traffic flow data,
ensemble learning
BibRef
Moriya, K.,
Matsushima, S.,
Yamanishi, K.,
Traffic Risk Mining From Heterogeneous Road Statistics,
ITS(19), No. 11, November 2018, pp. 3662-3675.
IEEE DOI
1812
data mining, matrix decomposition, pattern clustering,
road traffic, statistical analysis,
machine intelligence-pattern analysis
BibRef
Chidlovskii, B.,
Mining Smart Card Data for Travellers' Mini Activities,
ITS(19), No. 11, November 2018, pp. 3676-3685.
IEEE DOI
1812
data mining, Markov processes, Monte Carlo methods,
public transport, smart cards, travel industry,
pattern analysis
BibRef
Marzano, V.,
Papola, A.,
Simonelli, F.,
Papageorgiou, M.,
A Kalman Filter for Quasi-Dynamic o-d Flow Estimation/Updating,
ITS(19), No. 11, November 2018, pp. 3604-3612.
IEEE DOI
1812
Kalman filters, nonlinear filters, traffic counts,
generalized least squares estimators, corresponding transition,
quasi-dynamic estimation
BibRef
Chang, Y.J.[Yu-Jiao],
Duan, Z.Y.[Zheng-Yu],
Yang, D.Y.[Dong-Yuan],
Using ALPR data to understand the vehicle use behaviour under TDM
measures,
IET-ITS(12), No. 10, December 2018, pp. 1264-1270.
DOI Link
1812
BibRef
Zhang, W.B.[Wei-Bin],
Qi, Y.[Yong],
Zhou, Z.[Zhuping],
Biancardo, S.A.[Salvatore A.],
Wang, Y.[Yinhai],
Method of speed data fusion based on Bayesian combination algorithm and
high-order multi-variable Markov model,
IET-ITS(12), No. 10, December 2018, pp. 1312-1321.
DOI Link
1812
BibRef
Barik, B.[Biswajit],
Bhat, P.K.[Pradeep Krishna],
Oncken, J.[Joseph],
Chen, B.[Bo],
Orlando, J.[Joshua],
Robinette, D.[Darrell],
Optimal velocity prediction for fuel economy improvement of connected
vehicles,
IET-ITS(12), No. 10, December 2018, pp. 1329-1335.
DOI Link
1812
BibRef
Lwin, K.K.[Ko Ko],
Sekimoto, Y.[Yoshihide],
Takeuchi, W.[Wataru],
Estimation of Hourly Link Population and Flow Directions from Mobile
CDR,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Wang, S.,
Mao, G.,
Missing Data Estimation for Traffic Volume by Searching an Optimum
Closed Cut in Urban Networks,
ITS(20), No. 1, January 2019, pp. 75-86.
IEEE DOI
1901
Roads, Detectors, Correlation, Estimation, Probabilistic logic,
Tensile stress, Traffic data imputation, optimum closed cut, NHA, k-NN
BibRef
Xu, M.,
Wu, J.,
Liu, M.,
Xiao, Y.,
Wang, H.,
Hu, D.,
Discovery of Critical Nodes in Road Networks Through Mining From
Vehicle Trajectories,
ITS(20), No. 2, February 2019, pp. 583-593.
IEEE DOI
1902
Roads, Trajectory, Network topology, Topology, Measurement,
Data mining, Vehicle dynamics, Tripartite graph, ranking algorithm,
OD entropy
BibRef
Gao, J.,
Tembine, H.,
Distributed Mean-Field-Type Filters for Traffic Networks,
ITS(20), No. 2, February 2019, pp. 507-521.
IEEE DOI
1902
Surveillance, Roads, Sensor systems, Noise measurement, Cameras,
Intelligent sensors, Mean-field filter,
vehicle tracking
BibRef
Lai, X.J.[Xin-Jun],
Fu, H.[Hui],
Li, J.[Jun],
Sha, Z.R.[Zhi-Ren],
Understanding drivers' route choice behaviours in the urban network
with machine learning models,
IET-ITS(13), No. 3, March 2019, pp. 427-434.
DOI Link
1903
BibRef
Yang, C.[Chao],
Ye, W.[Wen],
Zhu, R.R.[Rong-Rong],
Zhang, T.R.[Tian-Ran],
Resident activity pattern recognition and comparison of six
Sino-American metropolises,
IET-ITS(13), No. 3, March 2019, pp. 443-452.
DOI Link
1903
BibRef
Zhuang, Y.F.[Yi-Fan],
Ke, R.M.[Rui-Min],
Wang, Y.H.[Yin-Hai],
Innovative method for traffic data imputation based on convolutional
neural network,
IET-ITS(13), No. 4, April 2019, pp. 605-613.
DOI Link
1903
BibRef
Di, X.,
Zhao, Y.,
Huang, S.,
Liu, H.X.,
A Similitude Theory for Modeling Traffic Flow Dynamics,
ITS(20), No. 3, March 2019, pp. 900-911.
IEEE DOI
1903
Vehicle dynamics, Aerodynamics, Robot sensing systems,
Mathematical model, Analytical models, Automobiles,
traffic dynamics
BibRef
Wang, Y.,
Zhang, Y.,
Piao, X.,
Liu, H.,
Zhang, K.,
Traffic Data Reconstruction via Adaptive Spatial-Temporal
Correlations,
ITS(20), No. 4, April 2019, pp. 1531-1543.
IEEE DOI
1904
Roads, Correlation, Matrix decomposition, Sparse matrices,
Interpolation, Tensile stress, Detectors,
adaptive spatial similarity
BibRef
Fahad, A.[Adil],
Almalawi, A.[Abdulmohsen],
Tari, Z.[Zahir],
Alharthi, K.[Kurayman],
Qahtani, F.S.A.[Fawaz S. Al],
Cheriet, M.[Mohamed],
SemTra: A semi-supervised approach to traffic flow labeling with
minimal human effort,
PR(91), 2019, pp. 1-12.
Elsevier DOI
1904
Internet traffic classification, Semi-supervised learning, Multiview
BibRef
Markovic, N.,
Sekula, P.,
Laan, Z.V.[Z. Vander],
Andrienko, G.,
Andrienko, N.,
Applications of Trajectory Data From the Perspective of a Road
Transportation Agency: Literature Review and Maryland Case Study,
ITS(20), No. 5, May 2019, pp. 1858-1869.
IEEE DOI
1905
Trajectory, Global Positioning System, Road transportation,
Data mining, Data models, Bibliographies, Road transportation,
big data
BibRef
Ni, X.Y.[Xiao-Yong],
Huang, H.[Hong],
Meng, Y.Y.[Yang-Yang],
Zhou, S.W.[Shi-Wei],
Su, B.[Boni],
An Urban Road-Traffic Commuting Dynamics Study Based on Hotspot
Clustering and a New Proposed Urban Commuting Electrostatics Model,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Zheng, K.N.[Kang-Ning],
Yao, E.[Enjian],
Zhang, J.[Junyi],
Zhang, Y.S.[Yong-Sheng],
Traffic flow estimation on the expressway network using toll ticket
data,
IET-ITS(13), No. 5, May 2019, pp. 886-895.
DOI Link
1906
BibRef
Bartin, B.[Bekir],
Use of learning classifier systems in microscopic toll plaza simulation
models,
IET-ITS(13), No. 5, May 2019, pp. 860-869.
DOI Link
1906
BibRef
Ng, K.M.[Kok Mun],
Reaz, M.B.I.[Mamun Bin Ibne],
Ali, M.A.M.[Mohd Alauddin Mohd],
Model-based control strategy for oversaturated traffic regimes based on
the LWR-IM traffic model,
IET-ITS(13), No. 5, May 2019, pp. 896-904.
DOI Link
1906
BibRef
Chen, Y.J.[Yu-Jun],
Pu, J.[Juhua],
Du, J.H.[Jia-Hong],
Wang, Y.[Yue],
Xiong, Z.[Zhang],
Spatial-temporal traffic outlier detection by coupling road level of
service,
IET-ITS(13), No. 6, June 2019, pp. 1016-1022.
DOI Link
1906
BibRef
Zhang, L.F.[Lian-Fa],
Cheng, J.Q.[Jian-Quan],
Jin, C.[Cheng],
Spatial Interaction Modeling of OD Flow Data: Comparing
Geographically Weighted Negative Binomial Regression (GWNBR) and OLS
(GWOLSR),
IJGI(8), No. 5, 2019, pp. xx-yy.
DOI Link
1906
Origin-Destination flow data.
BibRef
Naveh, K.S.[K. Soltani],
Kim, J.,
Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using
Tensor Factorization,
ITS(20), No. 7, July 2019, pp. 2540-2549.
IEEE DOI
1907
Trajectory, Tensile stress, Bluetooth, Data mining, Smart cards,
Urban areas, Feature extraction, Tensor factorization,
Bluetooth data
BibRef
Yong-dong, W.[Wang],
Dong-wei, X.[Xu],
Peng, P.[Peng],
Yi, L.[Liu],
Gui-jun, Z.[Zhang],
Xiao, X.M.[Xue-Mei],
Kernel PCA for road traffic data non-linear feature extraction,
IET-ITS(13), No. 8, August 2019, pp. 1291-1298.
DOI Link
1908
BibRef
Yang, J.[Jing],
Yi, D.[Disheng],
Qiao, B.[Bowen],
Zhang, J.[Jing],
Spatio-Temporal Change Characteristics of Spatial-Interaction
Networks: Case Study within the Sixth Ring Road of Beijing, China,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Wang, S.,
Zhang, X.,
Li, F.,
Yu, P.S.,
Huang, Z.,
Efficient Traffic Estimation With Multi-Sourced Data by Parallel
Coupled Hidden Markov Model,
ITS(20), No. 8, August 2019, pp. 3010-3023.
IEEE DOI
1908
Roads, Probes, Global Positioning System, Hidden Markov models,
Estimation, Twitter, Social media, traffic estimation, CHMM
BibRef
Li, L.,
Zhang, J.,
Wang, Y.,
Ran, B.,
Missing Value Imputation for Traffic-Related Time Series Data Based
on a Multi-View Learning Method,
ITS(20), No. 8, August 2019, pp. 2933-2943.
IEEE DOI
1908
Time series analysis, Logic gates, Sensors, Data models,
Road transportation, Learning systems, Databases,
temporal and spatial views
BibRef
Deng, Y.[Yue],
Liu, J.P.[Ji-Ping],
Liu, Y.[Yang],
Luo, A.[An],
Detecting Urban Polycentric Structure from POI Data,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link
1908
Urban sub-senters. Peaks of human activity.
BibRef
Aalipour, A.,
Kebriaei, H.,
Ramezani, M.,
Analytical Optimal Solution of Perimeter Traffic Flow Control Based
on MFD Dynamics: A Pontryagin's Maximum Principle Approach,
ITS(20), No. 9, September 2019, pp. 3224-3234.
IEEE DOI
1909
Optimal control, Urban areas, Vehicle dynamics, Mathematical model,
Analytical models, Intelligent transportation systems,
indirect optimal approach (IOA)
BibRef
Wu, J.[Jing],
Li, J.W.[Jing-Wen],
Ma, Y.[Yue],
A Comparative Study of Spatial and Temporal Preferences for
Waterfronts in Wuhan based on Gender Differences in Check-In Behavior,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Karimi, M.[Mohammad],
Alecsandru, C.[Ciprian],
Two-fold calibration approach for microscopic traffic simulation models,
IET-ITS(13), No. 10, October 2019, pp. 1507-1517.
DOI Link
1909
BibRef
Ji, Y.J.[Yan-Jie],
Cao, Y.[Yu],
Liu, Y.[Yang],
Guo, W.H.[Wei-Hong],
Gao, L.P.[Liang-Peng],
Research on classification and influencing factors of metro commuting
patterns by combining smart card data and household travel survey data,
IET-ITS(13), No. 10, October 2019, pp. 1525-1532.
DOI Link
1909
BibRef
Wang, D.,
Fan, J.,
Xiao, Z.,
Jiang, H.,
Chen, H.,
Zeng, F.,
Li, K.,
Stop-and-Wait: Discover Aggregation Effect Based on Private Car
Trajectory Data,
ITS(20), No. 10, October 2019, pp. 3623-3633.
IEEE DOI
1910
Automobiles, Surface acoustic waves, Trajectory, Urban areas,
Public transportation, Spatiotemporal phenomena, Roads,
trajectory data
BibRef
Ishikawa, K.[Kazuki],
Nakayama, D.[Daichi],
Estimation of Origin-Destination Flows of Passenger Cars in 1925 in
Old Tokyo City, Japan,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Wang, P.X.[Pei-Xiao],
Wu, S.[Sheng],
Zhang, H.C.[Heng-Cai],
Lu, F.[Feng],
Indoor Location Prediction Method for Shopping Malls Based on
Location Sequence Similarity,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Xiang, Q.L.[Qiu-Liang],
Wu, Q.Y.[Qun-Yong],
Tree-Based and Optimum Cut-Based Origin-Destination Flow Clustering,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Huang, Y.[Yang],
Shi, K.F.[Kai-Fang],
Zong, H.M.[Hui-Ming],
Zhou, T.G.[Ting-Gang],
Shen, J.W.[Jing-Wei],
Exploring Spatial and Temporal Connection Patterns among the
Districts in Chongqing Based on Highway Passenger Flow,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link
2001
BibRef
Zhou, T.[Tong],
Liu, X.[Xintao],
Qian, Z.[Zhen],
Chen, H.X.[Hao-Xuan],
Tao, F.[Fei],
Automatic Identification of the Social Functions of Areas of Interest
(AOIs) Using the Standard Hour-Day-Spectrum Approach,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Wang, S.,
Mao, G.,
Fundamental Limits of Missing Traffic Data Estimation in Urban
Networks,
ITS(21), No. 3, March 2020, pp. 1191-1203.
IEEE DOI
2003
Cramer-Rao lower bound (CRLB), squared flow error bound (SFEB),
fisher matrix, spatial-temporal kriging
BibRef
Rizwan, M.[Muhammad],
Wan, W.G.[Wang-Gen],
Gwiazdzinski, L.[Luc],
Visualization, Spatiotemporal Patterns, and Directional Analysis of
Urban Activities Using Geolocation Data Extracted from LBSN,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Jung, I.[Inhwan],
An IoT-based smart parking management system,
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DOI Link
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BibRef
Chen, Y.,
Lv, Y.,
Wang, F.,
Traffic Flow Imputation Using Parallel Data and Generative
Adversarial Networks,
ITS(21), No. 4, April 2020, pp. 1624-1630.
IEEE DOI
2004
Generators, Data models,
Generative adversarial networks, Training, Loss measurement,
deep learning
BibRef
Nassrullah, Z.,
Yousif, S.,
Development of a Microsimulation Model for Motorway Roadworks With
Narrow Lanes,
ITS(21), No. 4, April 2020, pp. 1536-1546.
IEEE DOI
2004
Vehicles, Acceleration, Roads, Accidents, Layout, Calibration,
Lane closure, microsimulation, modeling, narrow lanes, roadwork,
traffic management
BibRef
Rettore, P.H.L.[Paulo H. L.],
Santos, B.P.[Bruno P.],
Lopes, R.R.F.[Roberto Rigolin F.],
Maia, G.[Guilherme],
Villas, L.A.[Leandro A.],
Loureiro, A.A.F.[Antonio A. F.],
Road Data Enrichment Framework Based on Heterogeneous Data Fusion for
ITS,
ITS(21), No. 4, April 2020, pp. 1751-1766.
IEEE DOI
2004
ITS, heterogeneous data fusion, data enrichment, LBSM,
incident detection, VANETs
BibRef
Zißner, P.[Philipp],
Rettore, P.H.L.[Paulo H. L.],
Santos, B.P.[Bruno P.],
Loevenich, J.F.[Johannes F.],
Lopes, R.R.F.[Roberto Rigolin F.],
DataFITS: A Heterogeneous Data Fusion Framework for Traffic and
Incident Prediction,
ITS(24), No. 10, October 2023, pp. 11466-11478.
IEEE DOI
2310
BibRef
Li, T.L.[Teng-Long],
Hui, F.[Fei],
Zhao, X.M.[Xiang-Mo],
Liu, C.[Ce],
Ngoduy, D.[Dong],
Modelling heterogeneous traffic dynamics by considering the influence
of V2V safety messages,
IET-ITS(14), No. 4, April 2020, pp. 220-227.
DOI Link
2004
BibRef
Wang, Q.[Qi],
Li, L.[Li],
Hou, D.[Dezao],
Li, Z.H.[Zhi-Heng],
Hu, J.M.[Jian-Ming],
Simulation study on the effect of automated driving in a road network
environment,
IET-ITS(14), No. 4, April 2020, pp. 228-232.
DOI Link
2004
BibRef
Mühl, K.[Kristin],
Stoll, T.[Tanja],
Baumann, M.[Martin],
Look ahead: understanding cognitive anticipatory processes based on
situational characteristics in dynamic traffic situations,
IET-ITS(14), No. 4, April 2020, pp. 233-240.
DOI Link
2004
BibRef
Novovic, O.[Olivera],
Brdar, S.[Sanja],
Mesaroš, M.[Minucer],
Crnojevic, V.[Vladimir],
Papadopoulos, A.N.[Apostolos N.],
Uncovering the Relationship between Human Connectivity Dynamics and
Land Use,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Tao, R.[Ran],
Gong, Z.Y.[Zhao-Ya],
Ma, Q.W.[Qi-Wei],
Thill, J.C.[Jean-Claude],
Boosting Computational Effectiveness in Big Spatial Flow Data
Analysis with Intelligent Data Reduction,
IJGI(9), No. 5, 2020, pp. xx-yy.
DOI Link
2005
spatial origin-destination (OD) flow data.
BibRef
Tanveer, H.[Hashir],
Balz, T.[Timo],
Cigna, F.[Francesca],
Tapete, D.[Deodato],
Monitoring 2011-2020 Traffic Patterns in Wuhan (China) with
COSMO-SkyMed SAR, Amidst the 7th CISM Military World Games and
COVID-19 Outbreak,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Mohan, R.[Ranju],
Ramadurai, G.[Gitakrishnan],
Field data application of a non-lane-based multi-class traffic flow
model,
IET-ITS(14), No. 7, July 2020, pp. 657-667.
DOI Link
2006
BibRef
Duran, D.[David],
Sacristán, V.[Vera],
Silveira, R.I.[Rodrigo I.],
Map construction algorithms: a local evaluation through hiking data,
GeoInfo(24), No. 3, July 2020, pp. 633-681.
WWW Link.
2006
BibRef
Rossi, A.,
Barlacchi, G.,
Bianchini, M.,
Lepri, B.,
Modelling Taxi Drivers' Behaviour for the Next Destination Prediction,
ITS(21), No. 7, July 2020, pp. 2980-2989.
IEEE DOI
2007
Public transportation, Urban areas, Trajectory, Predictive models,
Recurrent neural networks, Task analysis, Vehicles,
smart cities
BibRef
Chu, K.,
Lam, A.Y.S.,
Li, V.O.K.,
Deep Multi-Scale Convolutional LSTM Network for Travel Demand and
Origin-Destination Predictions,
ITS(21), No. 8, August 2020, pp. 3219-3232.
IEEE DOI
2008
Deep learning, Public transportation, Correlation,
Predictive models, Data models, Travel demand prediction,
origin-destination tensor
BibRef
Li, Z.,
Khasawneh, F.,
Yin, X.,
Li, A.,
Song, Z.,
A New Microscopic Traffic Model Using a Spring-Mass-Damper-Clutch
System,
ITS(21), No. 8, August 2020, pp. 3322-3331.
IEEE DOI
2008
Data models, Vehicles, Computational modeling, Numerical models,
Lead, Vehicle dynamics, Microscopy, Car-following (CF) model,
stability of time-delay system
BibRef
Zhou, L.,
Zhang, S.,
Yu, J.,
Chen, X.,
Spatial-Temporal Deep Tensor Neural Networks for Large-Scale Urban
Network Speed Prediction,
ITS(21), No. 9, September 2020, pp. 3718-3729.
IEEE DOI
2008
Roads, Predictive models, Stacking, Neural networks,
Time series analysis, Detectors, Speed prediction, deep learning
BibRef
Duan, P.,
Mao, G.,
Kang, J.,
Huang, B.,
Estimation of Link Travel Time Distribution With Limited Traffic
Detectors,
ITS(21), No. 9, September 2020, pp. 3730-3743.
IEEE DOI
2008
Estimation, Detectors, Roads, Tomography, Cameras, Bluetooth,
Global Positioning System, Link travel time distribution,
expectation maximization (EM) algorithm
BibRef
Rao, W.M.[Wen-Ming],
Xia, J.X.[Jing-Xin],
Wang, C.[Chen],
Lu, Z.B.[Zhen-Bo],
Chen, Q.[Qian],
Investigating impact of the heterogeneity of trajectory data
distribution on origin-destination estimation:
A spatial statistics approach,
IET-ITS(14), No. 10, October 2020, pp. 1218-1227.
DOI Link
2009
BibRef
Xu, C.Y.[Chen-Yang],
Xu, C.Q.[Chang-Qing],
Truong, T.K.[Trieu-Kien],
Mining the spatio-temporal pattern using matrix factorisation:
A case study of traffic flow,
IET-ITS(14), No. 10, October 2020, pp. 1328-1337.
DOI Link
2009
BibRef
Cui, H.F.[Hai-Fu],
Wu, L.[Liang],
Hu, S.[Sheng],
Lu, R.J.[Ru-Juan],
Wang, S.L.[Shan-Lin],
Recognition of Urban Functions and Mixed Use Based on Residents'
Movement and Topic Generation Model: The Case of Wuhan, China,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Ortega, J.[Jairo],
Tóth, J.[János],
Péter, T.[Tamás],
Mapping the Catchment Area of Park and Ride Facilities within Urban
Environments,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Liu, A.Q.[An-Qi],
Kelobonye, K.[Keone],
Zhou, Z.Q.[Zhen-Qi],
Xu, Q.X.[Qiu-Xia],
Xu, Z.[Zhen],
Han, L.Y.[Ling-Yun],
School Commuting Mode Shift: A Scenario Analysis for Active School
Commuting Using GIS and Online Map API,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Di, Z.[Zhen],
Yang, L.X.[Li-Xing],
Wang, L.[Li],
Qi, J.G.[Jian-Guo],
A Robust Network Design Problem Based on the Spatiotemporal
Attributes of Activities,
ITS(21), No. 10, October 2020, pp. 4294-4307.
IEEE DOI
2010
Stochastic processes, Roads, Linear programming,
Biological system modeling, Heuristic algorithms, Programming,
stochastic scenarios
BibRef
Karam, A.[Ahmed],
Illemann, T.M.[Thorbjørn M.],
Reinau, K.H.[Kristian Hegner],
Vuk, G.[Goran],
Hansen, C.O.[Christian O.],
Towards Deriving Freight Traffic Measures from Truck Movement Data
for State Road Planning: A Proposed System Framework,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Wang, Y.D.[Yong-Dong],
Xu, D.W.[Dong-Wei],
Peng, P.[Peng],
Zhang, G.J.[Gui-Jun],
Analysis of road travel behaviour based on big trajectory data,
IET-ITS(14), No. 12, December 2020, pp. 1691-1703.
DOI Link
2011
BibRef
Mitra, A.[Anna],
Attanasi, A.[Alessandro],
Meschini, L.[Lorenzo],
Gentile, G.[Guido],
Methodology for O-D matrix estimation using the revealed paths of
floating car data on large-scale networks,
IET-ITS(14), No. 12, December 2020, pp. 1704-1711.
DOI Link
2011
BibRef
Huang, Y.,
Xiao, Z.,
Wang, D.,
Jiang, H.,
Wu, D.,
Exploring Individual Travel Patterns Across Private Car Trajectory
Data,
ITS(21), No. 12, December 2020, pp. 5036-5050.
IEEE DOI
2012
Automobiles, Trajectory, Public transportation, Smart cards,
Mobile handsets, Entropy, Urban areas, Private car, trajectory data,
frequently-visit place
BibRef
Nugroho, S.A.,
Taha, A.F.,
Claudel, C.G.,
A Control-Theoretic Approach for Scalable and Robust Traffic Density
Estimation Using Convex Optimization,
ITS(22), No. 1, January 2021, pp. 64-78.
IEEE DOI
2012
Observers, Road transportation, Computational modeling,
Vehicle dynamics, Sensors, Traffic networks,
L8 observer
BibRef
Wu, L.[Lin],
Xu, Y.J.[Yong-Jun],
Wang, F.[Fei],
Identifying Port Calls of Ships by Uncertain Reasoning with
Trajectory Data,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Khan, N.U.[Naimat Ullah],
Wan, W.G.[Wang-Gen],
Yu, S.[Shui],
Muzahid, A.A.M.,
Khan, S.[Sajid],
Hou, L.[Li],
A Study of User Activity Patterns and the Effect of Venue Types on
City Dynamics Using Location-Based Social Network Data,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Blais, P.[Philippe],
Badard, T.[Thierry],
Duchesne, T.[Thierry],
Côté, M.P.[Marie-Pier],
From Massive Trajectory Data to Traffic Modeling for Better Behavior
Prediction in a Usage-Based Insurance Context,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Fang, S.[Shen],
Pan, X.,
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
Meta-MSNet: Meta-Learning Based Multi-Source Data Fusion for Traffic
Flow Prediction,
SPLetters(28), 2021, pp. 6-10.
IEEE DOI
2101
Data fusion, deep learning, graph convolution, meta-learning,
traffic flow prediction, traffic network
BibRef
Fang, S.[Shen],
Prinet, V.[Véronique],
Chang, J.L.[Jian-Long],
Werman, M.[Michael],
Zhang, C.X.[Chun-Xia],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow
Prediction,
ITS(23), No. 7, July 2022, pp. 7142-7155.
IEEE DOI
2207
Feature extraction, Convolution, Predictive models, Data models,
Correlation, Roads, Kernel, Graph convolution,
deep learning
BibRef
Fang, S.[Shen],
Zhang, C.X.[Chun-Xia],
Xiang, S.M.[Shi-Ming],
Pan, C.H.[Chun-Hong],
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural
Architecture Search for Traffic Flow Prediction,
ITS(24), No. 3, March 2023, pp. 2827-2841.
IEEE DOI
2303
Feature extraction, Task analysis, Semantics, Decoding,
Predictive models, Adaptation models, Deep learning,
traffic flow prediction
BibRef
Chen, Y.[Yulu],
Qin, R.J.[Rong-Jun],
Zhang, G.X.[Gui-Xiang],
Albanwan, H.[Hessah],
Spatial Temporal Analysis of Traffic Patterns during the COVID-19
Epidemic by Vehicle Detection Using Planet Remote-Sensing Satellite
Images,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Du, B.,
Hu, X.,
Sun, L.,
Liu, J.,
Qiao, Y.,
Lv, W.,
Traffic Demand Prediction Based on Dynamic Transition Convolutional
Neural Network,
ITS(22), No. 2, February 2021, pp. 1237-1247.
IEEE DOI
2102
Convolution, Feature extraction, Spatiotemporal phenomena,
Predictive models, Convolutional neural networks, deep learning
BibRef
Chen, C.,
Liu, B.,
Wan, S.,
Qiao, P.,
Pei, Q.,
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an
Intelligent Transportation System,
ITS(22), No. 3, March 2021, pp. 1840-1852.
IEEE DOI
2103
Image edge detection, Cloud computing, Real-time systems,
Machine learning, Object detection,
traffic flow detection
BibRef
Kaziyeva, D.[Dana],
Loidl, M.[Martin],
Wallentin, G.[Gudrun],
Simulating Spatio-Temporal Patterns of Bicycle Flows with an
Agent-Based Model,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Zeng, X.[Xing],
Guan, X.F.[Xue-Feng],
Wu, H.Y.[Hua-Yi],
Xiao, H.P.[He-Ping],
A Data-Driven Quasi-Dynamic Traffic Assignment Model Integrating
Multi-Source Traffic Sensor Data on the Expressway Network,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Li, C.M.[Cheng-Ming],
Wu, Z.[Zheng],
Zhu, L.[Lining],
Liu, L.[Li],
Zhang, C.C.[Cheng-Cheng],
Changes of Spatiotemporal Pattern and Network Characteristic in
Population Flow under COVID-19 Epidemic,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Zhang, W.J.[Wen-Jia],
Ji, C.H.[Chun-Han],
Yu, H.[Hao],
Zhao, Y.[Yi],
Chai, Y.W.[Yan-Wei],
Interpersonal and Intrapersonal Variabilities in Daily
Activity-Travel Patterns: A Networked Spatiotemporal Analysis,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Sobral, T.,
Galvão, T.,
Borges, J.,
Knowledge-Assisted Visualization of Multi-Level Origin-Destination
Flows Using Ontologies,
ITS(22), No. 4, April 2021, pp. 2168-2177.
IEEE DOI
2104
Ontologies, Data visualization, Stakeholders, Semantics, Data models,
Urban areas, Tools, Ontologies, origin-destination matrices,
Semantic Web
BibRef
Sun, M.Q.[Meng-Qi],
Fan, H.C.[Hong-Chao],
Detecting and Analyzing Urban Centers Based on the Localized Contour
Tree Method Using Taxi Trajectory Data: A Case Study of Shanghai,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Zhang, Y.[Yan],
Zheng, X.[Xiang],
Chen, M.[Min],
Li, Y.B.[Ying-Bing],
Yan, Y.X.[Ying-Xue],
Wang, P.Y.[Pei-Ying],
Urban Fine-Grained Spatial Structure Detection Based on a New Traffic
Flow Interaction Analysis Framework,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Phu, C.N.V.[Cyril Nguyen Van],
Farhi, N.[Nadir],
Estimation of Urban Traffic State With Probe Vehicles,
ITS(22), No. 5, May 2021, pp. 2797-2808.
IEEE DOI
2105
Probes, Junctions, Estimation, Roads, Queueing analysis,
Global Positioning System, Intelligent transportation systems, queuing systems
BibRef
Wang, Z.H.[Zhi-Heng],
Fan, H.K.[Hong-Kui],
Wang, D.K.[Dai-Kun],
Xing, T.[Tao],
Wang, D.C.[Dong-Chuan],
Guo, Q.Z.[Qiao-Zhen],
Xiu, L.[Lina],
Spatial Pattern of Highway Transport Dominance in Qinghai-Tibet
Plateau at the County Scale,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Chen, H.B.[Hai-Bo],
Chen, X.[Xin],
A Trajectory Ensemble-Compression Algorithm Based on Finite Element
Method,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link
2106
Location based services
BibRef
Mullakkal-Babu, F.A.[Freddy Antony],
Wang, M.[Meng],
van Arem, B.[Bart],
Shyrokau, B.[Barys],
Happee, R.[Riender],
A Hybrid Submicroscopic-Microscopic Traffic Flow Simulation Framework,
ITS(22), No. 6, June 2021, pp. 3430-3443.
IEEE DOI
2106
Vehicle dynamics, Microscopy, Trajectory, Safety, Acceleration,
Dynamics, Adaptation models, Traffic model, submicroscopic, multilane
BibRef
Wang, W.[Wei],
Xia, F.[Feng],
Nie, H.S.[Han-Song],
Chen, Z.K.[Zhi-Kui],
Gong, Z.G.[Zhi-Guo],
Kong, X.J.[Xiang-Jie],
Wei, W.[Wei],
Vehicle Trajectory Clustering Based on Dynamic Representation
Learning of Internet of Vehicles,
ITS(22), No. 6, June 2021, pp. 3567-3576.
IEEE DOI
2106
Trajectory, Vehicle dynamics, Heuristic algorithms, Data mining,
Internet of Things, Measurement, Clustering methods,
vehicle trajectory clustering
BibRef
Sollén, S.,
Casselgren, J.,
Large-scale implementation of floating car data monitoring road
friction,
IET-ITS(15), No. 6, 2021, pp. 727-739.
DOI Link
2106
BibRef
Moradi, A.[Amin],
Shahbahrami, A.[Asadollah],
Akoushideh, A.[Alireza],
An unsupervised approach for traffic motion patterns extraction,
IET-IPR(15), No. 2, 2021, pp. 428-442.
DOI Link
2106
BibRef
Qiu, H.[Han],
Zheng, Q.[Qinkai],
Msahli, M.[Mounira],
Memmi, G.[Gerard],
Qiu, M.K.[Mei-Kang],
Lu, J.L.[Jia-Liang],
Topological Graph Convolutional Network-Based Urban Traffic Flow and
Density Prediction,
ITS(22), No. 7, July 2021, pp. 4560-4569.
IEEE DOI
2107
Vehicle-to-everything, Urban areas, Convolution, Reliability,
Servers, Communication standards, V2X communication, flash crowd,
graph convolutional network
BibRef
Li, Y.H.[Yi-Hang],
Xu, L.Y.[Li-Yan],
The Impact of COVID-19 on Pedestrian Flow Patterns in Urban POIs: An
Example from Beijing,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Yu, Q.Y.[Qing-Ying],
Chen, C.M.[Chuan-Ming],
Sun, L.P.[Li-Ping],
Zheng, X.Y.[Xiao-Yao],
Urban Hotspot Area Detection Using Nearest-Neighborhood-Related
Quality Clustering on Taxi Trajectory Data,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Costa, M.[Miguel],
Marques, M.[Manuel],
Moura, F.[Filipe],
A Circuity Temporal Analysis of Urban Street Networks Using Open
Data: A Lisbon Case Study,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Chen, L.[Long],
Moore, A.B.[Antoni B.],
Mandic, S.[Sandra],
Using Exploratory Spatial Analysis to Understand the Patterns of
Adolescents' Active Transport to School and Contributory Factors,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Li, J.[Jing],
Guo, W.Y.[Wen-Yue],
Liu, H.Y.[Hai-Yan],
Chen, X.[Xin],
Yu, A.Z.[An-Zhu],
Li, J.[Jia],
Predicting User Activity Intensity Using Geographic Interactions
Based on Social Media Check-In Data,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Wan, S.H.[Shao-Hua],
Ding, S.T.[Song-Tao],
Chen, C.[Chen],
Edge computing enabled video segmentation for real-time traffic
monitoring in internet of vehicles,
PR(121), 2022, pp. 108146.
Elsevier DOI
2109
Video segmentation, Key frames extraction, Edge computing, YOLOv3
BibRef
Lee, J.[Jongsang],
Seo, D.[Ducksu],
Accuracy of Regional Centrality Using Social Network Analysis:
Evidence from Commuter Flow in South Korea,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link
2110
BibRef
He, W.W.[Wen-Wen],
Ren, F.[Fu],
Predicting the Place Visited of Floating Car:
A Three-Layer Framework Using Spatiotemporal Probability,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Wang, P.[Ping],
Hao, W.[Wenbang],
Jin, Y.[Yinli],
Fine-Grained Traffic Flow Prediction of Various Vehicle Types via
Fusion of Multisource Data and Deep Learning Approaches,
ITS(22), No. 11, November 2021, pp. 6921-6930.
IEEE DOI
2112
Roads, Detectors, Predictive models, Data models, Microwave sensors,
Forecasting, Data integration, Toll collection, vehicle detector,
multisource information
BibRef
Wang, X.[Xing],
Zeng, R.H.[Rui-Hao],
Zou, F.M.[Fu-Min],
Huang, F.L.[Fa-Liang],
Jin, B.[Biao],
A highly efficient framework for outlier detection in urban traffic
flow,
IET-ITS(15), No. 12, 2021, pp. 1494-1507.
DOI Link
2112
Outlier detection, Road traffic flow pattern,
Nonnegative matrix factorization (NMF), PSO-BP neural network
BibRef
Zheng, H.F.[Hai-Feng],
Lin, F.[Feng],
Feng, X.X.[Xin-Xin],
Chen, Y.[Youjia],
A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks
for Short-Term Traffic Flow Prediction,
ITS(22), No. 11, November 2021, pp. 6910-6920.
IEEE DOI
2112
Feature extraction, Predictive models, Deep learning, Data models,
Forecasting, Neural networks, Transportation,
Bi-LSTM
BibRef
Yao, X.[Xin],
Gao, Y.[Yong],
Zhu, D.[Di],
Manley, E.[Ed],
Wang, J.[Jiaoe],
Liu, Y.[Yu],
Spatial Origin-Destination Flow Imputation Using Graph Convolutional
Networks,
ITS(22), No. 12, December 2021, pp. 7474-7484.
IEEE DOI
2112
Spatial databases, Gravity, Convolution,
Biological system modeling, Data models, Predictive models,
graph convolution
BibRef
Behara, K.N.S.[Krishna N. S.],
Bhaskar, A.[Ashish],
Chung, E.[Edward],
A Novel Methodology to Assimilate Sub-Path Flows in Bi-Level OD
Matrix Estimation Process,
ITS(22), No. 11, November 2021, pp. 6931-6941.
IEEE DOI
2112
Trraffic origin-destination.
Estimation, Trajectory, Bluetooth, Matrices, Linear programming,
Australia, Mathematical model, OD matrix estimation,
Brisbane
BibRef
Gao, Q.G.[Qing-Gang],
Molloy, J.[Joseph],
Axhausen, K.W.[Kay W.],
Trip Purpose Imputation Using GPS Trajectories with Machine Learning,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Pravitasari, A.E.[Andrea Emma],
Rustiadi, E.[Ernan],
Priatama, R.A.[Rista Ardy],
Murtadho, A.[Alfin],
Kurnia, A.A.[Adib Ahmad],
Mulya, S.P.[Setyardi Pratika],
Saizen, I.[Izuru],
Widodo, C.E.[Candraningratri Ekaputri],
Wulandari, S.[Siti],
Spatiotemporal Distribution Patterns and Local Driving Factors of
Regional Development in Java,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Lu, W.Q.[Wen-Qi],
Zhou, T.[Tian],
Li, L.H.[Lin-Heng],
Gu, Y.L.[Yuan-Li],
Rui, Y.K.[Yi-Kang],
Ran, B.[Bin],
An improved tucker decomposition-based imputation method for
recovering lane-level missing values in traffic data,
IET-ITS(16), No. 3, 2022, pp. 363-379.
DOI Link
2202
BibRef
Liu, Y.[Yusi],
Gao, X.[Xiang],
Yi, D.[Disheng],
Jiang, H.P.[He-Ping],
Zhao, Y.X.[Yu-Xin],
Xu, J.[Jun],
Zhang, J.[Jing],
Investigating Human Travel Patterns from an Activity Semantic Flow
Perspective: A Case Study within the Fifth Ring Road in Beijing Using
Taxi Trajectory Data,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Agriesti, S.[Serio],
Roncoli, C.[Claudio],
Nahmias-Biran, B.H.[Bat-Hen],
Assignment of a Synthetic Population for Activity-Based Modeling
Employing Publicly Available Data,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link
2202
BibRef
And:
Correction:
IJGI(13), No. 8, 2024, pp. 284.
DOI Link
2408
BibRef
Xia, Y.J.[Ying-Jie],
Zhang, F.[Fan],
Ou, J.[Jing],
STAP: A Spatio-Temporal Correlative Estimating Model for Improving
Quality of Traffic Data,
ITS(23), No. 3, March 2022, pp. 1746-1754.
IEEE DOI
2203
Data models, Roads, Feature extraction, Estimation, Data mining,
Predictive models, Correlation, Spatio-temporal correlation,
anomalies detection
BibRef
Wang, J.Q.[Jia-Qin],
Wang, S.C.[Sheng-Chu],
Geographical Information Enhanced Recognition of Traffic Modes and
Behavior Patterns,
ITS(23), No. 4, April 2022, pp. 3777-3782.
IEEE DOI
2204
Global navigation satellite system, Trajectory, Kinematics,
Acceleration, Task analysis, Roads, Rail transportation, traffic mode
BibRef
Yang, B.W.[Bo-Wen],
Liu, Z.H.[Zun-Hao],
Cai, Z.[Zhi],
Li, D.Z.[Dong-Ze],
Su, X.[Xing],
Guo, L.M.[Li-Min],
Ding, Z.M.[Zhi-Ming],
A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle
History Spatio-Temporal Trajectory Data,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Su, H.Y.[Hai-Yang],
Chen, C.[Chaolong],
Is One-Way Multi-Station Feasible? Influence of Value and Cost on
Travel Intention of Urban Agglomeration in the Guangdong-Hong
Kong-Macao Greater Bay Area,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Sun, Z.[Ziwen],
Scott, I.[Iain],
Bell, S.[Simon],
Yang, Y.F.[Yu-Feng],
Yang, Z.[Zichu],
Exploring Dynamic Street Vendors and Pedestrians through the Lens of
Static Spatial Configuration in Yuncheng, China,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Joelianto, E.[Endra],
Fathurrahman, M.F.[Muhammad Farhan],
Sutarto, H.Y.[Herman Yoseph],
Semanjski, I.[Ivana],
Putri, A.[Adiyana],
Gautama, S.[Sidharta],
Analysis of Spatiotemporal Data Imputation Methods for Traffic Flow
Data in Urban Networks,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Wang, S.[Shaofan],
Zhao, Y.[Yongbo],
Zhang, Y.[Yong],
Hu, Y.L.[Yong-Li],
Yin, B.C.[Bao-Cai],
Spatiotemporal traffic data imputation via tensorial weighted
Schatten-p norm minimization,
IET-ITS(16), No. 7, 2022, pp. 926-939.
DOI Link
2206
BibRef
Sroczynski, A.[Andrzej],
Kurowski, A.[Adam],
Zaporowski, S.[Szymon],
Czyzewski, A.[Andrzej],
Examining Impact of Speed Recommendation Algorithm Operating in
Autonomous Road Signs on Minimum Distance between Vehicles,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Li, Z.P.[Zhi-Peng],
Niu, X.Y.[Xin-Yi],
Exploring Spatial Nonstationarity in Determinants of Intercity
Commuting Flows: A Case Study of Suzhou-Shanghai, China,
IJGI(11), No. 6, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Zhang, Y.N.[Yong-Nan],
Zhou, Y.H.[Yong-Hua],
Lu, H.[Huapu],
Fujita, H.[Hamido],
Spark Cloud-Based Parallel Computing for Traffic Network Flow
Predictive Control Using Non-Analytical Predictive Model,
ITS(23), No. 7, July 2022, pp. 7708-7720.
IEEE DOI
2207
Predictive models, Roads, Sparks, Computational modeling,
Cloud computing, Predictive control, Optimization,
hierarchical parallel genetic algorithm
BibRef
Hu, L.S.[Lin-Shu],
Zhang, F.[Feng],
Qin, M.J.[Meng-Jiao],
Fu, Z.Y.[Zhi-Yi],
Chen, Z.[Zhende],
Du, Z.H.[Zhen-Hong],
Liu, R.Y.[Ren-Yi],
A Dynamic Pyramid Tilling Method for Traffic Data Stream Based on
Flink,
ITS(23), No. 7, July 2022, pp. 6679-6688.
IEEE DOI
2207
Real-time systems, Tiles, Monitoring, Data processing,
Distributed databases, Spatial databases, Scalability, Flink, ITS,
real-time traffic data
BibRef
Zhang, W.B.[Wei-Bin],
Zhang, P.[Pulin],
Yu, Y.H.[Ying-Hao],
Li, X.Y.[Xi-Ying],
Biancardo, S.A.[Salvatore Antonio],
Zhang, J.[Junyi],
Missing Data Repairs for Traffic Flow With Self-Attention Generative
Adversarial Imputation Net,
ITS(23), No. 7, July 2022, pp. 7919-7930.
IEEE DOI
2207
Data models, Time series analysis, Maintenance engineering,
Training, Task analysis, Generative adversarial networks, self-attention
BibRef
Cui, S.H.[Shao-Hua],
Cao, F.[Feng],
Yu, B.[Bin],
Yao, B.Z.[Bao-Zhen],
Modeling Heterogeneous Traffic Mixing Regular, Connected, and
Connected-Autonomous Vehicles Under Connected Environment,
ITS(23), No. 7, July 2022, pp. 8579-8594.
IEEE DOI
2207
Numerical stability, Vehicles, Numerical models, Analytical models,
Memory, Stability criteria, Communications technology,
heterogeneous traffic
BibRef
Xue, Y.J.[Yong-Jie],
Wang, L.[Lin],
Yu, B.[Bin],
Cui, S.H.[Shao-Hua],
A Two-Lane Car-Following Model for Connected Vehicles Under Connected
Traffic Environment,
ITS(25), No. 7, July 2024, pp. 7445-7453.
IEEE DOI
2407
Vehicles, Visualization, Interference, Numerical models, Roads,
Numerical stability, Stability criteria, Connected vehicles,
heterogeneous traffic flow
BibRef
Chang, M.M.[Meng-Meng],
Ding, Z.M.[Zhi-Ming],
Cai, Z.[Zhi],
Zhao, Z.[Zilin],
Yuan, L.[Lei],
Prediction of Evolution Behaviors of Transportation Hubs Based on
Spatiotemporal Neural Network,
ITS(23), No. 7, July 2022, pp. 9171-9183.
IEEE DOI
2207
Spatiotemporal phenomena, Feature extraction, Correlation,
Predictive models, Convolution, Transportation,
traffic evolution behaviors
BibRef
Zhou, J.W.[Jun-Wei],
Qin, X.Z.[Xi-Zhong],
Yu, K.[Kun],
Jia, Z.H.[Zhen-Hong],
Du, Y.[Yan],
STSGAN: Spatial-Temporal Global Semantic Graph Attention Convolution
Networks for Urban Flow Prediction,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Xu, H.[Haowen],
Berres, A.[Anne],
Tennille, S.A.[Sarah A.],
Ravulaparthy, S.K.[Srinath K.],
Wang, C.[Chieh],
Sanyal, J.[Jibonananda],
Continuous Emulation and Multiscale Visualization of Traffic Flow
Using Stationary Roadside Sensor Data,
ITS(23), No. 8, August 2022, pp. 10530-10541.
IEEE DOI
2208
Data visualization, Roads, Vehicle dynamics, Emulation,
Transportation, Monitoring, Radar detection,
traffic monitoring
BibRef
Yang, F.[Fan],
Vereshchaka, A.[Alina],
Lepri, B.[Bruno],
Dong, W.[Wen],
Optimizing City-Scale Traffic Through Modeling Observations of
Vehicle Movements,
ITS(23), No. 8, August 2022, pp. 10492-10503.
IEEE DOI
2208
Vehicle dynamics, Vehicles, Statistics, Sociology,
Prediction algorithms, Urban areas, Roads, machine learning
BibRef
Zhang, Z.[Zhao],
Zhang, S.[Siyao],
Mo, L.[Lei],
Guo, M.[Mengdi],
Liu, F.[Feng],
Qi, X.[Xin],
Traffic Volume Estimate Based on Low Penetration Connected Vehicle
Data at Signalized Intersections: A Bayesian Deduction Approach,
ITS(23), No. 8, August 2022, pp. 10596-10609.
IEEE DOI
2208
Global Positioning System, Trajectory, Detectors, Estimation,
Volume measurement, Roads, Probes, Traffic volume, time boundary
BibRef
Wang, Y.[Yang],
Zhang, Y.[Yong],
Wang, L.[Lixun],
Hu, Y.L.[Yong-Li],
Yin, B.C.[Bao-Cai],
Urban Traffic Pattern Analysis and Applications Based on
Spatio-Temporal Non-Negative Matrix Factorization,
ITS(23), No. 8, August 2022, pp. 12752-12765.
IEEE DOI
2208
Roads, Transportation, Pattern analysis, Data models, Data mining,
Analytical models, Autoregressive processes,
spatio-temporal characteristics
BibRef
Xiao, Z.[Zhu],
Fang, H.[Hui],
Jiang, H.B.[Hong-Bo],
Bai, J.[Jing],
Havyarimana, V.[Vincent],
Chen, H.Y.[Hong-Yang],
Understanding Urban Area Attractiveness Based on Private Car
Trajectory Data Using a Deep Learning Approach,
ITS(23), No. 8, August 2022, pp. 12343-12352.
IEEE DOI
2208
Automobiles, Trajectory, Urban areas, Spatiotemporal phenomena,
Public transportation, Training, Deep learning,
point-of-stop
BibRef
Maffiola, D.[Davide],
Longari, S.[Stefano],
Carminati, M.[Michele],
Tanelli, M.[Mara],
Zanero, S.[Stefano],
GOLIATH: A Decentralized Framework for Data Collection in Intelligent
Transportation Systems,
ITS(23), No. 8, August 2022, pp. 13372-13385.
IEEE DOI
2208
Blockchains, Real-time systems, Data collection, Vehicle dynamics,
Robustness, Peer-to-peer computing, traffic management
BibRef
He, Y.L.[Ying-Long],
Mattas, K.[Konstantinos],
Dona, R.[Riccardo],
Albano, G.[Giovanni],
Ciuffo, B.[Biagio],
Introducing the Effects of Road Geometry Into Microscopic Traffic
Models for Automated Vehicles,
ITS(23), No. 8, August 2022, pp. 13604-13613.
IEEE DOI
2208
Slope and curvature.
Roads, Microscopy, Geometry, Turning, Adaptation models, Data models,
Vehicle dynamics, Microscopic traffic model, road geometry,
automated vehicle
BibRef
Li, T.[Tao],
Han, X.[Xu],
Ma, J.Q.[Jia-Qi],
Cooperative Perception for Estimating and Predicting Microscopic
Traffic States to Manage Connected and Automated Traffic,
ITS(23), No. 8, August 2022, pp. 13694-13707.
IEEE DOI
2208
Estimation, Trajectory, Microscopy, Real-time systems, Detectors,
Vehicle dynamics, Traffic control,
high-definition (HD) microscopic traffic states
BibRef
Yuan, Y.[Yun],
Wang, Q.Z.[Qin-Zheng],
Yang, X.F.T.[Xian-Feng Terry],
Traffic Flow Modeling With Gradual Physics Regularized Learning,
ITS(23), No. 9, September 2022, pp. 14649-14660.
IEEE DOI
2209
Mathematical models, Data models, Physics, Training,
Computational modeling, Gaussian processes, Estimation,
multivariate Gaussian process
BibRef
Lu, S.F.[Shou-Feng],
Modeling Isotropic Traffic Flow Under Vehicle-to-Vehicle
Communication: A Kinetic Approach,
ITS(23), No. 9, September 2022, pp. 16237-16248.
IEEE DOI
2209
Kinetic theory, Mathematical models, Roads,
Vehicular ad hoc networks, Microscopy, Vehicle dynamics,
kinetic
BibRef
Bramich, D.M.[Daniel M.],
Menéndez, M.[Mónica],
Ambühl, L.[Lukas],
Fitting Empirical Fundamental Diagrams of Road Traffic:
A Comprehensive Review and Comparison of Models Using an Extensive Data
Set,
ITS(23), No. 9, September 2022, pp. 14104-14127.
IEEE DOI
2209
Roads, Data models, Urban areas, Detectors, Density measurement,
Mathematical models, Time measurement, model comparisons
BibRef
Huang, X.L.[Xin-Long],
Chen, J.[Jian],
Cai, M.[Ming],
Wang, W.[Wei],
Hu, X.P.[Xi-Ping],
Traffic Node Importance Evaluation Based on Clustering in Represented
Transportation Networks,
ITS(23), No. 9, September 2022, pp. 16622-16631.
IEEE DOI
2209
Roads, Representation learning, Indexes, Measurement, Transportation,
Topology, Entropy, Traffic node importance,
cooperative intelligent transportation systems
BibRef
Cooper, C.H.V.[Crispin H. V.],
Exploring Potential Applications of Quantum Computing in
Transportation Modelling,
ITS(23), No. 9, September 2022, pp. 14712-14720.
IEEE DOI
2209
Quantum computing, Quantum mechanics, Computational modeling,
Transportation, Quantum annealing, Annealing, Logic gates,
tour models
BibRef
Liu, Q.L.[Qi-Liang],
Hou, Z.Y.[Zhao-Yi],
Yang, J.[Jie],
Detecting Spatial Communities in Vehicle Movements by Combining
Multi-Level Merging and Consensus Clustering,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Luo, G.Y.[Gui-Yang],
Zhang, H.[Hui],
Yuan, Q.[Quan],
Li, J.L.[Jing-Lin],
Wang, F.Y.[Fei-Yue],
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow
Dynamics,
ITS(23), No. 10, October 2022, pp. 19201-19212.
IEEE DOI
2210
Roads, Correlation, Feature extraction, Sensors, Deep learning,
Convolution, Sensor phenomena and characterization,
spatial-temporal networks
BibRef
Yu, Z.Y.[Zhao-Yuan],
Li, D.S.[Dong-Shuang],
Hu, X.[Xu],
Zhou, X.X.[Xin-Xin],
Luo, W.[Wen],
Yuan, L.W.[Lin-Wang],
Zhu, A.X.[A-Xing],
Modeling Small-Granularity Expressway Traffic Volumes With Quantum
Walks,
ITS(23), No. 10, October 2022, pp. 17077-17086.
IEEE DOI
2210
Vehicles, Data models, Oscillators, Solid modeling,
Probability distribution, Predictive models, Vehicle dynamics,
traffic simulation
BibRef
Feng, X.X.[Xin-Xin],
Zhang, H.T.[Hai-Tao],
Wang, C.[Can],
Zheng, H.F.[Hai-Feng],
Traffic Data Recovery From Corrupted and Incomplete Observations via
Spatial-Temporal TRPCA,
ITS(23), No. 10, October 2022, pp. 17835-17848.
IEEE DOI
2210
Tensors, Anomaly detection, Data models,
Principal component analysis, Roads, Discrete Fourier transforms,
anomaly detection
BibRef
Lei, M.Y.[Meng-Ying],
Labbe, A.[Aurelie],
Wu, Y.K.[Yuan-Kai],
Sun, L.J.[Li-Jun],
Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic
Data Imputation and Kriging,
ITS(23), No. 10, October 2022, pp. 18962-18974.
IEEE DOI
2210
Spatiotemporal phenomena, Kernel, Data models,
Computational modeling, Task analysis, Correlation, Bayes methods,
Markov chain Monte Carlo
BibRef
Jiang, H.C.[Hong-Chao],
Dong, L.[Lin],
Qiu, B.[Bing],
How Are Macro-Scale and Micro-Scale Built Environments Associated
with Running Activity? The Application of Strava Data and Deep
Learning in Inner London,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Lai, L.G.[Lu-Guang],
Zhao, D.Q.[Dong-Qing],
Xu, T.H.[Tian-He],
Cheng, Z.H.[Zhen-Hao],
Guo, W.Z.[Wen-Zhuo],
Li, L.Y.[Lin-Yang],
Improving Vehicle Positioning Performance in Urban Environment with
Tight Integration of Multi-GNSS PPP-RTK/INS,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Yin, R.[Ruyang],
Liu, Z.Y.[Zhi-Yuan],
Zheng, N.[Nan],
A Simulation-Based Model for Continuous Network Design Problem Using
Bayesian Optimization,
ITS(23), No. 11, November 2022, pp. 20352-20367.
IEEE DOI
2212
Heuristic algorithms, Computational modeling, Analytical models,
Bayes methods, Behavioral sciences, Transportation, Metaheuristics,
simulation-based optimization
BibRef
Liu, C.X.[Chen-Xi],
Yang, H.[Hao],
Ke, R.M.[Rui-Min],
Wang, Y.H.[Yin-Hai],
Toward a Dynamic Reversible Lane Management Strategy by Empowering
Learning-Based Predictive Assignment Scheme,
ITS(23), No. 12, December 2022, pp. 23311-23323.
IEEE DOI
2212
Optimization, Roads, Predictive models, Heuristic algorithms,
Real-time systems, Computational modeling, Traffic control,
traffic flow prediction
BibRef
Zhu, Y.T.[Yi-Ting],
Wang, J.[Jiyu],
Wang, J.[Junbo],
He, Z.C.[Zhao-Cheng],
Multitask Neural Tensor Factorization for Road Traffic Speed-Volume
Correlation Pattern Learning and Joint Imputation,
ITS(23), No. 12, December 2022, pp. 24550-24560.
IEEE DOI
2212
Tensors, Correlation, Task analysis, Roads, Solid modeling, Detectors,
Data models, Multi-task learning, neural tensor factorization,
automatic vehicle identification
BibRef
Owais, M.[Mahmoud],
Shahin, A.I.[Ahmed I.],
Exact and Heuristics Algorithms for Screen Line Problem in Large Size
Networks: Shortest Path-Based Column Generation Approach,
ITS(23), No. 12, December 2022, pp. 24829-24840.
IEEE DOI
2212
Traffic sensors location problem.
Sensors, Estimation, Observability, Heuristic algorithms,
Surveillance, Image sensors, Transportation, Heuristics, information,
traffic sensors
BibRef
Chen, D.L.[Dong-Liang],
Huang, H.Y.[Hong-Yong],
Zheng, Y.C.[Yu-Chao],
Gawkowski, P.[Piotr],
Lv, H.B.[Hai-Bin],
Lv, Z.H.[Zhi-Han],
The Scanner of Heterogeneous Traffic Flow in Smart Cities by an
Updating Model of Connected and Automated Vehicles,
ITS(23), No. 12, December 2022, pp. 25361-25370.
IEEE DOI
2212
Laser radar, Sensors, Transportation, Meters, Detectors, Cameras,
Automobiles, Connected and automated vehicles, scanner,
swarm intelligence
BibRef
Song, H.[Heng],
Zhu, J.[Junwu],
Jiang, Y.[Yi],
Two-Stage Merging Network for Describing Traffic Scenes in
Intelligent Vehicle Driving System,
ITS(23), No. 12, December 2022, pp. 25509-25520.
IEEE DOI
2212
Visualization, Merging, Adaptation models, Intelligent vehicles,
Semantics, Feature extraction, Object oriented modeling, neural networks
BibRef
Cai, L.[Li],
Sha, C.[Cong],
He, J.[Jing],
Yao, S.W.[Shao-Wen],
Spatial-Temporal Data Imputation Model of Traffic Passenger
Flow Based on Grid Division,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Florin, R.[Ryan],
Olariu, S.[Stephan],
Real-Time Traffic Density Estimation:
Putting on-Coming Traffic to Work,
ITS(24), No. 1, January 2023, pp. 1374-1383.
IEEE DOI
2301
Probes, Real-time systems, Task analysis, Observers,
Sensitivity analysis, Roads, Radar, traffic density
BibRef
Lyu, S.X.[Su-Xing],
Han, T.Y.[Tian-Yang],
Li, P.R.[Pei-Ran],
Luo, X.Y.[Xing-Yu],
Kusakabe, T.[Takahiko],
A Dual-Flow Attentive Network With Feature Crossing for Chained Trip
Purpose Inference,
ITS(24), No. 1, January 2023, pp. 631-644.
IEEE DOI
2301
Task analysis, Hidden Markov models, Neural networks,
Feature extraction, Deep learning, Data models, Urban planning,
intelligent transportation systems
BibRef
Liu, Z.Y.[Zhi-Yuan],
Lyu, C.[Cheng],
Wang, Z.L.[Ze-Lin],
Wang, S.[Shuaian],
Liu, P.[Pan],
Meng, Q.[Qiang],
A Gaussian-Process-Based Data-Driven Traffic Flow Model and Its
Application in Road Capacity Analysis,
ITS(24), No. 2, February 2023, pp. 1544-1563.
IEEE DOI
2302
Roads, Data models, Mathematical models, Analytical models,
Solid modeling, Sensors, Predictive models, Traffic flow,
hyperparameter optimisation
BibRef
Kyriacou, V.[Victor],
Englezou, Y.[Yiolanda],
Panayiotou, C.G.[Christos G.],
Timotheou, S.[Stelios],
Bayesian Traffic State Estimation Using Extended Floating Car Data,
ITS(24), No. 2, February 2023, pp. 1518-1532.
IEEE DOI
2302
Data models, Bayes methods, Sensors, Roads, State estimation,
Density measurement, Automobiles, Traffic density,
probabilistic inference
BibRef
van den Ende, M.[Martijn],
Ferrari, A.[André],
Sladen, A.[Anthony],
Richard, C.[Cédric],
Deep Deconvolution for Traffic Analysis With Distributed Acoustic
Sensing Data,
ITS(24), No. 3, March 2023, pp. 2947-2962.
IEEE DOI
2303
Automobiles, Strain, Sensors, Roads, Deconvolution,
Temperature measurement, Frequency measurement, traffic analysis
BibRef
Yuan, S.Y.[Si-Yuan],
van den Ende, M.[Martijn],
Liu, J.X.[Jing-Xiao],
Noh, H.Y.[Hae Young],
Clapp, R.[Robert],
Richard, C.[Cédric],
Biondi, B.[Biondo],
Spatial Deep Deconvolution U-Net for Traffic Analyses With
Distributed Acoustic Sensing,
ITS(25), No. 2, February 2024, pp. 1913-1924.
IEEE DOI
2402
Optical fiber sensors, Sensors, Optical fiber cables,
Signal resolution, Monitoring, Automobiles, Time-domain analysis, U-Net
BibRef
Li, Y.C.[Yao-Chen],
Hou, H.C.[Hao-Chuan],
Dong, Z.[Zikun],
Zang, Y.J.[Yu-Jie],
Zhang, Y.[Ying],
Song, Y.H.[Yong-Hong],
Spatiotemporal Analysis of Static and Dynamic Traffic Elements From
Road Scenes,
ITS(24), No. 3, March 2023, pp. 3297-3311.
IEEE DOI
2303
Roads, Feature extraction, Image sequences,
Spatiotemporal phenomena, Hidden Markov models, Vehicle dynamics,
spatiotemporal analysis
BibRef
Hussain, S.A.[Syed Adil],
Hassan, M.U.[Muhammad Umair],
Nasar, W.[Wajeeha],
Ghorashi, S.[Sara],
Jamjoom, M.M.[Mona M.],
Abdel-Aty, A.H.[Abdel-Haleem],
Parveen, A.[Amna],
Hameed, I.A.[Ibrahim A.],
Efficient Trajectory Clustering with Road Network Constraints Based
on Spatiotemporal Buffering,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Xiao, Z.[Zhu],
Fang, H.[Hui],
Jiang, H.B.[Hong-Bo],
Bai, J.[Jing],
Havyarimana, V.[Vincent],
Chen, H.Y.[Hong-Yang],
Jiao, L.C.[Li-Cheng],
Understanding Private Car Aggregation Effect via Spatio-Temporal
Analysis of Trajectory Data,
Cyber(53), No. 4, April 2023, pp. 2346-2357.
IEEE DOI
2303
Automobiles, Spatiotemporal phenomena, Trajectory, Kernel,
Correlation, Predictive models, Data models, Aggregation effect,
trajectory data
BibRef
Kim, J.[Jongho],
Lim, D.H.[Dong-Hyun],
Seo, Y.[Younghoon],
So, J.J.[Jaehyun Jason],
Kim, H.[Hyungjoo],
Influence of dedicated lanes for connected and automated vehicles on
highway traffic flow,
IET-ITS(17), No. 4, 2023, pp. 678-690.
DOI Link
2304
BibRef
Sun, C.[Chao],
Jing, H.D.[Hao-Dong],
Chen, T.[Taolüe],
Li, M.H.[Meng-Hui],
Zhang, P.[Peng],
Incremental equilibrium assignment and applications to traffic
network model,
IET-ITS(17), No. 4, 2023, pp. 794-803.
DOI Link
2304
incremental equilibrium assignment,
reliability-based user equilibrium, route-based algorithm, user equilibrium
BibRef
Xie, F.J.[Feng-Jie],
Wang, X.[Xiao],
Ren, C.P.[Cui-Ping],
Identify Important Cities in the Belt and Road Comprehensive Traffic
Network,
IJGI(12), No. 4, 2023, pp. 154.
DOI Link
2305
BibRef
Liu, J.[Jing],
Liu, Y.[Yang],
Zhu, W.[Wei],
Zhu, X.G.[Xiao-Guang],
Song, L.[Liang],
Distributional and spatial-temporal robust representation learning
for transportation activity recognition,
PR(140), 2023, pp. 109568.
Elsevier DOI
2305
Transportation activity recognition, Multimodal sensing,
Deep learning, Statistical feature, Spatial-temporal feature
BibRef
Jafaripournimchahi, A.[Ammar],
Cai, Y.F.[Ying-Feng],
Wang, H.[Hai],
Sun, L.[Lu],
Tang, Y.[Yili],
Babadi, A.A.[Arman Amani],
A viscous continuum traffic flow model based on the cooperative
car-following behaviour of connected and autonomous vehicles,
IET-ITS(17), No. 5, 2023, pp. 973-991.
DOI Link
2305
autonomous driving, congestion evaluation, environmental,
management and control, traffic modelling
BibRef
Zhou, Y.[Yi],
Hu, M.H.[Ming-Hua],
Yang, L.[Lei],
Wang, Y.[Yuchi],
Autonomous and collaborative trajectory planning for traffic
complexity management,
IET-ITS(17), No. 5, 2023, pp. 992-1008.
DOI Link
2305
air traffic management, autonomous trajectory planning,
collaborative decision-making, traffic complexity management
BibRef
Sun, B.F.[Bao-Feng],
Nie, L.[Liaodong],
Wang, W.[Wei],
Sun, Y.[Yu],
Li, H.[Han],
Dynamic identification of logistics critical roads based on BeiDou
trajectory data,
IET-ITS(17), No. 7, 2023, pp. 1467-1481.
DOI Link
2307
BeiDou trajectory data, industrial parks,
KANN-DBSCAN algorithm, logistics attractiveness, logistics critical roads
BibRef
Luo, Q.[Qin],
Lin, B.[Bin],
Lyu, Y.T.[Yi-Tong],
He, Y.X.[Yu-Xin],
Zhang, X.C.[Xiao-Chun],
Zhang, Z.Q.[Zhi-Qing],
Spatiotemporal path inference model for urban rail transit passengers
based on travel time data,
IET-ITS(17), No. 7, 2023, pp. 1395-1414.
DOI Link
2307
passenger detention, passenger flow assignment, path inference,
travel time, urban rail transit
BibRef
Tran, D.N.N.[Duong Nguyen-Ngoc],
Pham, L.H.[Long Hoang],
Nguyen, H.H.[Huy-Hung],
Jeon, J.W.[Jae Wook],
A Vision-Based Method for Real-Time Traffic Flow Estimation on Edge
Devices,
ITS(24), No. 8, August 2023, pp. 8038-8052.
IEEE DOI
2308
Estimation, Trajectory, Tracking, Roads, Image edge detection,
Real-time systems, Vehicle detection,
real-time performance
BibRef
Zou, S.S.[Song-Shang],
Chen, H.[Hao],
Feng, H.[Hui],
Xiao, G.Y.[Guang-Yi],
Qin, Z.[Zhen],
Cai, W.W.[Wei-Wei],
Traffic Flow Video Image Recognition and Analysis Based on
Multi-Target Tracking Algorithm and Deep Learning,
ITS(24), No. 8, August 2023, pp. 8762-8775.
IEEE DOI
2308
Roads, Real-time systems, Estimation, Streaming media,
Wireless sensor networks, Spatiotemporal phenomena, Sensors,
feature recognition
BibRef
Dey, S.[Subhrasankha],
Winter, S.[Stephan],
Tomko, M.[Martin],
Ganguly, N.[Niloy],
Traffic Count Estimation at Basis Links Without Path Flow and
Historic Data,
ITS(24), No. 10, October 2023, pp. 11410-11423.
IEEE DOI
2310
BibRef
Fu, Y.M.[Yan-Ming],
Qin, X.Q.[Xiao-Qiong],
Zhang, X.[Xian],
Jia, Y.Q.[You-Quan],
Hybrid Recruitment Scheme Based on Deep Learning in Vehicular
Crowdsensing,
ITS(24), No. 10, October 2023, pp. 10735-10748.
IEEE DOI
2310
BibRef
Wu, P.L.[Peng-Ling],
Ding, M.[Meng],
Zheng, Y.B.[Yu-Bang],
Spatiotemporal traffic data imputation by synergizing low tensor ring
rank and nonlocal subspace regularization,
IET-ITS(17), No. 9, 2023, pp. 1908-1923.
DOI Link
2310
data analysis, intelligent transportation systems,
interpolation, management and control, traffic modeling
BibRef
Su, X.[Xing],
Sun, W.J.[Wen-Jie],
Song, C.[Chenting],
Cai, Z.[Zhi],
Guo, L.M.[Li-Min],
A Latent-Factor-Model-Based Approach for Traffic Data Imputation with
Road Network Information,
IJGI(12), No. 9, 2023, pp. 378.
DOI Link
2310
BibRef
Ding, X.[Xiaoe],
Liu, W.K.[Wen-Ke],
Wang, C.C.[Cheng-Cheng],
Kong, D.[Delan],
Tang, W.[Wei],
Xu, R.[Run],
Zhang, C.Y.[Chang-Yong],
Trend analysis of traffic management based on literature data mining
and graph analysis tools,
IET-ITS(17), No. 11, 2023, pp. 2115-2130.
DOI Link
2311
data mining, long term evolution, traffic management and control
BibRef
Xing, J.P.[Ji-Ping],
Liu, R.H.[Rong-Hui],
Anish, K.[Khadka],
Liu, Z.Y.[Zhi-Yuan],
A Customized Data Fusion Tensor Approach for Interval-Wise Missing
Network Volume Imputation,
ITS(24), No. 11, November 2023, pp. 12107-12122.
IEEE DOI
2311
fill in missing data.
BibRef
Alonso, B.[Borja],
Musolino, G.[Giuseppe],
Rindone, C.[Corrado],
Vitetta, A.[Antonino],
Estimation of a Fundamental Diagram with Heterogeneous Data Sources:
Experimentation in the City of Santander,
IJGI(12), No. 10, 2023, pp. 418.
DOI Link
2311
Analyzing the traffic conditions on an urban road link.
Goal to reduce urban congestion.
BibRef
Mi, H.N.[Han-Ning],
Chen, S.[Sijie],
Ping, J.[Jian],
Yan, Z.[Zheng],
Traffic Equilibrium Considering Heterogeneity Across Electric
Vehicles,
ITS(24), No. 12, December 2023, pp. 14944-14956.
IEEE DOI
2312
BibRef
Zong, R.X.[Rui-Xue],
Deng, W.W.[Wei-Wen],
Bai, X.S.[Xue-Song],
Wang, Y.[Ying],
Ding, J.[Juan],
Traffic Modeling Based on Data-Driven Method for Simulation Test of
Autonomous Driving,
ITS(24), No. 12, December 2023, pp. 14076-14085.
IEEE DOI
2312
Model traffic to test autonomous driving.
BibRef
Olariu, S.[Stephan],
A Theoretical Validation of the Moving Observer Method,
ITS(24), No. 12, December 2023, pp. 14633-14641.
IEEE DOI
2312
Moving observer to measure traffic vs. stationary.
BibRef
Wang, Z.[Zhiyu],
Li, L.H.[Lin-Heng],
Qu, X.[Xu],
Mao, P.P.[Pei-Pei],
Ran, B.[Bin],
Research on prediction method of expressway section traffic flow
considering anomaly detection probability,
IET-ITS(18), No. 1, 2024, pp. 16-28.
DOI Link
2401
Anomaly Detection Probability, Attention Mechanism,
Recurrent Neural Network, Traffic Flow Prediction
BibRef
Zhao, D.[De],
Zhou, W.[Wei],
Wang, W.[Wei],
Hua, X.D.[Xue-Dong],
Trip purpose prediction using travel survey data with POI information
via gradient boosting decision trees,
IET-ITS(18), No. 2, 2024, pp. 269-289.
DOI Link
2402
behavioural sciences, data mining, decision trees,
demand forecasting, traveller information
BibRef
Huang, L.[Lu],
Oki, T.[Takuya],
Muto, S.[Sachio],
Ogawa, Y.[Yoshiki],
Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors
on Walking Preference: Evidence from Tokyo,
IJGI(13), No. 4, 2024, pp. 131.
DOI Link
2405
BibRef
Hu, L.Y.[Li-Yang],
Jia, Y.H.[Yu-Heng],
Chen, W.J.[Wei-Jie],
Wen, L.H.[Long-Hui],
Ye, Z.R.[Zhi-Rui],
A Flexible and Robust Tensor Completion Approach for Traffic Data
Recovery With Low-Rankness,
ITS(25), No. 3, March 2024, pp. 2558-2572.
IEEE DOI
2405
Tensors, Spatiotemporal phenomena, Task analysis, Data models,
Minimization, Detectors, Data integrity,
low-rank tensor completion
BibRef
Cong, L.[Lin],
Zhang, H.[Hengcai],
Wang, P.X.[Pei-Xiao],
Chu, C.[Chen],
Wang, J.[Jinzi],
Impact of the Russia-Ukraine Conflict on Global Marine Network Based
on Massive Vessel Trajectories,
RS(16), No. 8, 2024, pp. 1329.
DOI Link
2405
BibRef
Shi, Y.[Yan],
Chen, B.[Bingrong],
Huang, J.[Jincai],
Wang, D.[Da],
Liu, H.M.[Hui-Min],
Deng, M.[Min],
Delineating Source and Sink Zones of Trip Journeys in the Road
Network Space,
IJGI(13), No. 5, 2024, pp. 150.
DOI Link
2405
BibRef
Shahrier, M.[Mahir],
Hasnat, A.[Arif],
Al-Mahmud, J.[Jobaer],
Huq, A.S.[Armana Sabiha],
Ahmed, S.[Sakib],
Haque, M.K.[Md. Khorshadul],
Towards intelligent transportation system:
A comprehensive review of electronic toll collection systems,
IET-ITS(18), No. 6, 2024, pp. 965-983.
DOI Link
2406
intelligent transportation systems, in-vehicle navigation,
mobility as a service, public transport,
vehicular ad-hoc networks
BibRef
Bandyopadhyay, S.[Soma],
Datta, A.[Anish],
Ramakrishnan, R.K.[Ramesh Kumar],
Pal, A.[Arpan],
Generalizable Journey Mode Detection Using Unsupervised
Representation Learning,
ITS(25), No. 7, July 2024, pp. 6917-6926.
IEEE DOI
2407
Global Positioning System, Urban areas, Sensors, Privacy,
Accelerometers, Training, Representation learning,
domain generalization
BibRef
Englezou, Y.[Yiolanda],
Timotheou, S.[Stelios],
Panayiotou, C.G.[Christos G.],
Path-Based Origin-Destination Matrix Estimation Utilizing Macroscopic
Traffic Dynamics,
ITS(25), No. 8, August 2024, pp. 8819-8836.
IEEE DOI
2408
Estimation, Vehicle dynamics, Data models, Optimization, Europe, Roads,
Matrix converters, Origin-destination (OD) matrix estimation,
nonlinear optimisation
BibRef
Lee, D.[Daegyu],
Seong, H.K.[Hyun-Ki],
Kang, G.[Gyuree],
Han, S.[Seungil],
Shim, D.H.[D. Hyunchul],
Yoon, Y.[Yoonjin],
Design, Field Evaluation, and Traffic Analysis of a Competitive
Autonomous Driving Model in a Congested Environment,
ITS(25), No. 8, August 2024, pp. 9482-9497.
IEEE DOI
2408
Autonomous vehicles, Planning, Location awareness, Laser radar,
Inference algorithms, Urban areas, Roads, Autonomous vehicles,
traffic information
BibRef
Mushfiq, M.M.[Md. Masum],
Toha, T.R.[Tarik Reza],
Salim, S.I.[Saiful Islam],
Mostak, A.[Aaiyeesha],
Rahaman, M.[Masfiqur],
Al-Nabhan, N.A.[Najla Abdulrahman],
Sadri, A.M.[Arif Mohaimin],
Alim Al Islam, A.B.M.,
'To Lane or Not to Lane?': Comparing On-Road Experiences in
Developing and Developed Countries Using a New Simulator RoadBird,
ITS(25), No. 8, August 2024, pp. 8486-8498.
IEEE DOI
2408
Roads, Strips, Urban areas, Pedestrians, Analytical models,
Traffic control, Mathematical models, Computer simulation,
vehicle routing
BibRef
Lindroth, T.[Tobias],
Svensson, A.[Axel],
Åkerblom, N.[Niklas],
Pourabdollah, M.[Mitra],
Chehreghani, M.H.[Morteza Haghir],
Online Learning Models for Vehicle Usage Prediction During COVID-19,
ITS(25), No. 8, August 2024, pp. 9387-9396.
IEEE DOI
2408
Predictive models, Data models, Computational modeling,
Automobiles, Pandemics, Behavioral sciences, Batteries,
COVID-19 pandemic
BibRef
Yin, J.C.[Jia-Cheng],
Cao, P.[Peng],
Li, Z.P.[Zong-Ping],
Li, L.H.[Lin-Heng],
Li, Z.[Zhao],
Li, D.[Duo],
Modelling the fundamental diagram of traffic flow mixed with
connected vehicles based on the risk potential field,
IET-ITS(18), No. 9, 2024, pp. 1616-1631.
DOI Link
2409
car-following model, connected vehicles, fundamental diagram,
mixed traffic flow, risk potential field
BibRef
Zeng, Z.[Zeyu],
Liu, B.[Bin],
Feng, J.[Jun],
Yang, X.L.[Xiao-Lin],
Low-Rank Tensor and Hybrid Smoothness Regularization-Based Approach
for Traffic Data Imputation With Multimodal Missing,
ITS(25), No. 10, October 2024, pp. 13014-13026.
IEEE DOI
2410
Tensors, Imputation, Spatiotemporal phenomena, Data models,
Matrix decomposition, TV, hybrid total variation
BibRef
Sun, T.[Tao],
Xu, Y.J.[Yong-Jun],
Wang, F.[Fei],
Wu, L.[Lin],
Qian, T.[Tangwen],
Shao, Z.Z.[Ze-Zhi],
Trajectory-User Link with Attention Recurrent Networks,
ICPR21(4589-4596)
IEEE DOI
2105
Location based service
Weight measurement, Training, Recurrent neural networks, Semantics,
Graphics processing units, Trajectory
BibRef
Moyo, T.,
Kibangou, A.,
Musakwa, W.,
Exploring the Potential of Traffic Index Data to Analyze Essential
Traffic Impact In Developing Cities,
ISPRS20(B4:137-141).
DOI Link
2012
BibRef
Bharadwaj, S.,
Dubey, R.,
Zafar, M.I.,
Biswas, S.,
Raster Data Based Automated Noise Data Integration for Noise Mapping
Limiting Data Dependency,
ISPRS21(B4-2021: 159-166).
DOI Link
2201
BibRef
And: A3, A1, A2, A4:
Different Scales of Urban Traffic Noise Prediction,
ISPRS20(B2:1181-1188).
DOI Link
2012
BibRef
Davoudi, N.,
Taleai, M.,
Molavi, M.,
Spatio-temporal Assessment of Mixed Land-use Impact On Travel Demand,
SMPR19(299-303).
DOI Link
1912
BibRef
Javanmard, R.,
Esmaeili, R.,
Malekzadeh, M.,
Karimipour, F.,
Investigating The Rhythms of Human Movements in Geneva Lake Region
Using MDC Data,
SMPR19(583-588).
DOI Link
1912
BibRef
Zhang, X.,
Zhang, X.,
Zhang, H.,
Application Research of Lod Technology and The Shortest Path Algorithm
In Trafic Geographic Information System,
SmartGeoApps19(1369-1374).
DOI Link
1912
BibRef
Zhang, Y.,
Cheng, T.,
Aslam, N.S.,
Exploring The Relationship Between Travel Pattern And
Social-demographics Using Smart Card Data and Household Survey,
SmartGeoApps19(1375-1382).
DOI Link
1912
BibRef
Lee, M.,
Nam, H.,
Jun, C.,
Origin-destination-based Public Transport Service Gap,
GeoDisast18(283-290).
DOI Link
1901
BibRef
Du, J.H.[Jia-Hong],
Chen, Y.J.[Yu-Jun],
Wang, Y.[Yue],
Pu, J.[Juhua],
Zone2Vec: Distributed Representation Learning of Urban Zones,
ICPR18(880-885)
IEEE DOI
1812
Urban zones separated by major roads.
learning (artificial intelligence), pattern classification,
pattern clustering, urban zones, Roads
BibRef
Selzer, S.,
Asteriadis, S.,
Politze, M.,
Prediction of learning space occupation through WLAN access point
data using Kalman filter and gradient boosting regression,
AVSS17(1-6)
IEEE DOI
1806
Kalman filters, computer aided instruction,
educational institutions, learning (artificial intelligence),
Wireless LAN
BibRef
Biedermann, D.,
Ochs, M.,
Mester, R.,
COnGRATS: Realistic simulation of traffic sequences for autonomous
driving,
ICVNZ15(1-6)
IEEE DOI
1701
image sequences
BibRef
Hollenstein, D.,
Bleisch, S.,
Walkability For Different Urban Granularities,
ISPRS16(B2: 703-708).
DOI Link
1610
BibRef
Huang, W.,
Li, S.,
Xu, S.,
A Three-step Spatial-temporal-semantic Clustering Method For Human
Activity Pattern Analysis,
ISPRS16(B2: 549-552).
DOI Link
1610
BibRef
Busch, S.,
Schindler, T.,
Klinger, T.,
Brenner, C.,
Analysis Of Spatio-temporal Traffic Patterns Based On Pedestrian
Trajectories,
ISPRS16(B2: 497-503).
DOI Link
1610
BibRef
Haworth, J.,
Investigating The Potential of Activity Tracking App Data to Estimate
Cycle Flows In Urban Areas,
ISPRS16(B2: 515-519).
DOI Link
1610
BibRef
Zhao, P.X.,
Zhao, S.M.,
Understanding Urban Traffic Flow Characteristics From The Network
Centrality Perspective At Different Granularities,
ISPRS16(B2: 263-268).
DOI Link
1610
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Urban Mobility Analysis .