16.7.2.5.5 Traffic Flow Models and Analysis, Not Image Based

Chapter Contents (Back)
Traffic Flow. Smart Highways. Applications to traffic flow analysis from other than image data. Predictions:
See also Traffic Flow Prediction, Forecast.
See also Traffic Flow Analysis, GPS, GNSS.
See also Shared Ride Systems, Car Sharing, Bike Sharing, Taxi, Analysis.
See also Traffic Control, Traffic Analysis, Not Image Analysis.
See also Transit Traffic Analysis, Public Transit, Bus.
See also Surveillance of Vehicles and Occupants, Driver Monitoring.
See also Traffic Surveillance, Analysis of Traffic.
See also Traffic, Routing, Travel Time, Evaluation. More people than vehicles:
See also Human Activities, Tourist Traffic Flow.

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

He, Z.C., Xi-wei, S., Zhuang, L.J., Nie, P.L.,
On-line map-matching framework for floating car data with low sampling rate in urban road networks,
IET-ITS(7), No. 4, December 2013, pp. 404-414.
DOI Link 1402
Global Positioning System 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.[Yufei], 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.[Xuesong],
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., Faouzi, N.E.[N. El],
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., Moudni, A.E.[A. El],
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

Yin, J.J.[Jun-Jun], Gao, Y.Z.[Yi-Zhao], Du, Z.H.[Zhen-Hong], Wang, S.W.[Shao-Wen],
Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach,
IJGI(5), No. 10, 2016, pp. 187.
DOI Link 1610
BibRef
And: Correction: IJGI(5), No. 12, 2016, pp. 226.
DOI Link 1612
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

El Mahrsi, M.K., Côme, E., Oukhellou, L., Verleysen, M.,
Clustering Smart Card Data for Urban Mobility Analysis,
ITS(18), No. 3, March 2017, pp. 712-728.
IEEE DOI 1703
Data mining BibRef

Xiao, Z.B.[Zhi-Bin], Wang, Y.[Yang], Fu, K.[Kun], Wu, F.[Fan],
Identifying Different Transportation Modes from Trajectory Data Using Tree-Based Ensemble Classifiers,
IJGI(6), No. 2, 2017, pp. xx-yy.
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

Yuan, Y., Wang, D., Wang, Q.,
Anomaly Detection in Traffic Scenes via Spatial-Aware Motion Reconstruction,
ITS(18), No. 5, May 2017, pp. 1198-1209.
IEEE DOI 1705
Bayes methods, Dictionaries, Image reconstruction, Optical imaging, Robustness, Vehicles, Videos, Computer vision, anomaly detection, crowded scenes, motion analysis, sparse reconstruction, video, analysis BibRef

Ma, Y.[Yunjia], 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

Andrienko, G., Andrienko, N., Chen, W., Maciejewski, R., Zhao, Y.,
Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions,
ITS(18), No. 8, August 2017, pp. 2232-2249.
IEEE DOI 1708
Computers, Planning, Trajectory, Transportation, Visual analytics, Data visualization, graphical user interfaces, interactive, systems 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.[Chenghu], 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

Hübl, F.[Franziska], Cvetojevic, S.[Sreten], Hochmair, H.[Hartwig], Paulus, G.[Gernot],
Analyzing Refugee Migration Patterns Using Geo-tagged Tweets,
IJGI(6), No. 10, 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

Jo, J.[Junghee], Kim, H.[Hyunsuk],
Development of a Safety Index to Identify Differences in Safety Performance by Postal Delivery Motorcyclists Based either in Different Regional Post Offices or within the Same Regional Office,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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

Amar, H.M., Basir, O.A.,
A Bargaining-Based Solution to the Team Mobility Planning Game,
ITS(19), No. 3, March 2018, pp. 854-867.
IEEE DOI 1804
Game theory, Games, Planning, Public transportation, Routing, Vehicles, Team mobility planning, bargaining models, cooperative systems, intelligent transportation system 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

Guo, X.H.[Xiao-Hui], Zhang, R.C.[Ri-Chong], Liu, X.D.[Xu-Dong], Huai, J.P.[Jin-Peng],
Human mobility semantics analysis: A probabilistic and scalable approach,
GeoInfo(22), No. 3, July 2018, pp. 507-539.
WWW Link. 1807
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

Pajarito, D.[Diego], Gould, M.[Michael],
Mapping Frictions Inhibiting Bicycle Commuting,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Kumar, D., Wu, H., Rajasegarar, S., Leckie, C., Krishnaswamy, S., Palaniswami, M.,
Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility,
ITS(19), No. 11, November 2018, pp. 3709-3722.
IEEE DOI 1812
Big Data, Global Positioning System, pattern clustering, road traffic, traffic engineering computing, Dunns indices, trajectory distance measures 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.[Meiling], 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

Cerqueira, V., Moreira-Matias, L., Khiari, J., van Lint, H.,
On Evaluating Floating Car Data Quality for Knowledge Discovery,
ITS(19), No. 11, November 2018, pp. 3749-3760.
IEEE DOI 1812
data mining, intelligent transportation systems, learning (artificial intelligence), road traffic, trajectory mining 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

Crivellari, A.[Alessandro], Beinat, E.[Euro],
From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-Scale Mobility Data,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
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.[Shiwei], 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, F.[Fan], Wu, L.[Lun], Zhu, D.[Di], Liu, Y.[Yu],
Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns,
PandRS(153), 2019, pp. 48-58.
Elsevier DOI 1906
Street-level imagery, Urban physical environment, Urban mobility, Social sensing, Deep learning 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

Parsafard, M., Chi, G., Qu, X., Li, X., Wang, H.,
Error Measures for Trajectory Estimations With Geo-Tagged Mobility Sample Data,
ITS(20), No. 7, July 2019, pp. 2566-2583.
IEEE DOI 1907
Trajectory, Geography, Measurement uncertainty, Social network services, Time measurement, Estimation error, activity range BibRef

Yong-dong, W.[Wang], Dong-wei, X.[Xu], Peng, P.[Peng], Yi, L.[Liu], Gui-jun, Z.[Zhang], Xiao, X.[Xuemei],
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

Yang, Y.X.[Yuan-Xuan], Heppenstall, A.[Alison], Turner, A.[Andy], Comber, A.[Alexis],
Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
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

Wang, X.M.[Xu-Meng], Gu, T.L.[Tian-Long], Luo, X.N.[Xiao-Nan], Cai, X.[Xiwen], Lao, T.Y.[Tian-Yi], Chen, W.L.[Wen-Long], Wu, Y.C.[Ying-Cai], Yu, J.H.[Jin-Hui], Chen, W.[Wei],
A User Study on the Capability of Three Geo-Based Features in Analyzing and Locating Trajectories,
ITS(20), No. 9, September 2019, pp. 3375-3385.
IEEE DOI 1909
human mobility. Trajectory, Privacy, Task analysis, Correlation, Data privacy, Visualization, Roads, Periodic trajectory, location privacy, geo-based context 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.[Yanjie], Cao, Y.[Yu], Liu, Y.[Yang], Guo, W.H.[Wei-Hong], Gao, L.[Liangpeng],
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.[Peixiao], Wu, S.[Sheng], Zhang, H.[Hengcai], 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

Bantis, T.[Thanos], Haworth, J.[James],
Non-Employment Activity Type Imputation from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get?,
IJGI(8), No. 12, 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

di Vaio, M., Fiengo, G., Petrillo, A., Salvi, A., Santini, S., Tufo, M.,
Cooperative Shock Waves Mitigation in Mixed Traffic Flow Environment,
ITS(20), No. 12, December 2019, pp. 4339-4353.
IEEE DOI 2001
Autonomous vehicles, Delays, Connected vehicles, Wireless communication, Stability analysis, Mathematical model, PLEXE BibRef

Chen, M., Yu, X., Liu, Y.,
TraLFM: Latent Factor Modeling of Traffic Trajectory Data,
ITS(20), No. 12, December 2019, pp. 4624-4634.
IEEE DOI 2001
Trajectory, Data models, Semantics, Data mining, Cameras, Public transportation, Surveillance, Human mobility patterns, generative model BibRef

Zhou, T.[Tong], Liu, X.[Xintao], Qian, Z.[Zhen], Chen, H.[Haoxuan], 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

Revoredo, K.[Kate], Baião, F.[Fernanda], de M. S. Quintella, C.A.[Carlos A.], Campos, C.A.V.[Carlos Alberto V.], de S. Soares, E.F.[Elton F.],
A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction,
ITS(20), No. 12, December 2019, pp. 4655-4664.
IEEE DOI 2001
Feature extraction, Global Positioning System, Sensors, Real-time systems, Data collection, Data models, Task analysis, automated machine learning BibRef

Xu, Z.Z.[Zhen-Zhou], Cui, G.[Ge], Zhong, M.[Ming], Wang, X.[Xin],
Anomalous Urban Mobility Pattern Detection Based on GPS Trajectories and POI Data,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
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.[Wanggen], 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,
IJCVR(10), No. 2, 2020, pp. 122-132.
DOI Link 2003
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., Santos, B.P., Rigolin, R., Lopes, F., Maia, G., Villas, L.A., Loureiro, A.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

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.[Zhaoya], Ma, Q.[Qiwei], 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

You, L., Zhao, F., Cheah, L., Jeong, K., Zegras, P.C., Ben-Akiva, M.,
A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization,
ITS(21), No. 10, October 2020, pp. 4149-4160.
IEEE DOI 2010
Frequency modulation, Sensors, Data visualization, Data collection, Data mining, Data integration, Urban areas, Mobility sensing flow, travel survey 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

Sathishkumar, V.E., Park, J.[Jangwoo], Cho, Y.Y.[Yong-Yun],
Seoul bike trip duration prediction using data mining techniques,
IET-ITS(14), No. 11, November 2020, pp. 1465-1474.
DOI Link 2010
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

Herberth, R., Menz, L., Körper, S., Luo, C., Gauterin, F., Gerlicher, A., Wang, Q.,
Identifying Atypical Travel Patterns for Improved Medium-Term Mobility Prediction,
ITS(21), No. 12, December 2020, pp. 5010-5021.
IEEE DOI 2012
Intelligent transportation systems, Neural networks, Predictive models, Machine learning, Clustering methods, Entropy, intelligent transportation system 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., Pan, X., Xiang, S., Pan, C.,
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

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.[Huayi], 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

Chen, H.X.[Hao-Xuan], Tao, F.[Fei], Ma, P.L.[Pei-Long], Gao, L.N.[Li-Na], Zhou, T.[Tong],
Applicability Evaluation of Several Spatial Clustering Methods in Spatiotemporal Data Mining of Floating Car Trajectory,
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.[Hongkui], Wang, D.[Daikun], Xing, T.[Tao], Wang, D.[Dongchuan], Guo, Q.[Qiaozhen], 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

Lee, J.[Jiwon], Yu, K.[Kiyun], Kim, J.Y.[Ji-Young],
Public Bike Trip Purpose Inference Using Point-of-Interest Data,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Capodici, A.E.[Alessandro Emilio], D'Orso, G.[Gabriele], Migliore, M.[Marco],
A GIS-Based Methodology for Evaluating the Increase in Multimodal Transport between Bicycle and Rail Transport Systems. A Case Study in Palermo,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Liu, Q.[Qiliang], Huan, W.H.[Wei-Hua], Deng, M.[Min], Zheng, X.L.[Xiao-Lin], Yuan, H.[Haotao],
Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View Subspace Clustering,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Senousi, A.M.[Ahmad M.], Zhang, J.[Junwei], Shi, W.Z.[Wen-Zhong], Liu, X.[Xintao],
A Proposed Framework for Identification of Indicators to Model High-Frequency Cities,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
Rapid changes due to mobility. 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.[Hansong], 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

Hu, G.J.[Guo-Jing], Lu, W.[Weike], Whalin, R.W.[Robert W.], Wang, F.[Feng], Kwembe, T.A.[Tor A.],
Analytical approximation for macroscopic fundamental diagram of urban corridor with mixed human and connected and autonomous traffic,
IET-ITS(15), No. 2, 2021, pp. 261-272.
DOI Link 2106
BibRef

Mao, R.Y.[Ru-Yong], Chen, Z.Y.[Zheng-Yu], Hu, G.B.[Guo-Bing],
Robust temporal low-rank representation for traffic data recovery via fused lasso,
IET-ITS(15), No. 2, 2021, pp. 175-186.
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.[Meikang], Lu, J.[Jialiang],
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


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

Zafar, M.I., Bharadwaj, S., Dubey, R., Biswas, S.,
Different Scales of Urban Traffic Noise Prediction,
ISPRS20(B2:1181-1188).
DOI Link 2012
BibRef

Yu, L., Feng, Q., Qian, Y., Liu, W., Hauptmann, A.G.,
Zero-VIRUS*: Zero-shot Vehicle Route Understanding System for Intelligent Transportation,
City20(2534-2543)
IEEE DOI 2008
Cameras, Target tracking, Trajectory, Videos, Automobiles, Task analysis 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

Partigöç, N.S., Erdin, H.E., Zengin Çelik, H., Silaydin Aydin, M.B.,
The Examination of Gathering Points' Capacity Regarding Mobility And Accessibility: Case of Bayrakli District,
Gi4DM18(413-419).
DOI Link 1805
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

Orellana, D., Hermida, C., Osorio, P.,
A Multidisciplinary Analytical Framework For Studying Active Mobility Patterns,
ISPRS16(B2: 527-534).
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
Emission Control Issues in Traffic Control .


Last update:Jul 28, 2021 at 22:23:09