16.7.2.5.4 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. 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.

Li, K.[Kun], Ioannou, P.,
Modeling of traffic flow of automated vehicles,
ITS(5), No. 2, June 2004, pp. 99-113.
IEEE Abstract. 0501
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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
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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
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Sun, S.L.[Shi-Liang], Zhang, C.S.[Chang-Shui], Yu, G.Q.[Guo-Qiang],
A bayesian network approach to traffic flow forecasting,
ITS(7), No. 1, March 2006, pp. 124-132.
IEEE DOI 0604
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Quek, C., Pasquier, M., Lim, B.L.B.,
POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction,
ITS(7), No. 2, June 2006, pp. 133-146.
IEEE DOI 0606
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Ni, D.,
Determining Traffic-Flow Characteristics by Definition for Application in ITS,
ITS(8), No. 2, April 2007, pp. 181-187.
IEEE DOI 0706
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Tan, M.C., Wong, S.C., Xu, M.C., Guan, Z.R., Zhang, P.,
An Aggregation Approach to Short-Term Traffic Flow Prediction,
ITS(10), No. 1, March 2009, pp. 60-69.
IEEE DOI 0903
BibRef

Ghosh, B., Basu, B., O'Mahony, M.,
Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis,
ITS(10), No. 2, June 2009, pp. 246-254.
IEEE DOI 0906
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Tchrakian, T.T., Basu, B., O'Mahony, M.,
Real-Time Traffic Flow Forecasting Using Spectral Analysis,
ITS(13), No. 2, June 2012, pp. 519-526.
IEEE DOI 1206
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
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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

Sun, S., Xu, X.,
Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction,
ITS(12), No. 2, June 2011, pp. 466-475.
IEEE DOI 1101
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Shende, A., Singh, M.P., Kachroo, P.,
Optimal Feedback Flow Rates for Pedestrian Evacuation in a Network of Corridors,
ITS(14), No. 3, 2013, pp. 1053-1066.
IEEE DOI 1309
Computational modeling BibRef

Carlson, R.C., Papamichail, I., Papageorgiou, M.,
Local Feedback-Based Mainstream Traffic Flow Control on Motorways Using Variable Speed Limits,
ITS(12), No. 4, December 2011, pp. 1261-1276.
IEEE DOI 1112
BibRef

Iordanidou, G.R., Roncoli, C., Papamichail, I., Papageorgiou, M.,
Feedback-Based Mainstream Traffic Flow Control for Multiple Bottlenecks on Motorways,
ITS(16), No. 2, April 2015, pp. 610-621.
IEEE DOI 1504
Acceleration BibRef

Iordanidou, G.R., Papamichail, I., Roncoli, C., Papageorgiou, M.,
Feedback-Based Integrated Motorway Traffic Flow Control With Delay Balancing,
ITS(18), No. 9, September 2017, pp. 2319-2329.
IEEE DOI 1709
actuators, delays, feedback, knapsack problems, road traffic control, VSL-enabled cascade-feedback mainstream traffic flow control, ramp metering, throughput maximization, variable speed limit-enabled cascade-feedback mainstream traffic flow control, Regulators, Traffic management, integrated motorway traffic flow control, mainstream traffic flow control, variable speed limits BibRef

Ramezani, A., Moshiri, B., Abdulhai, B., Kian, A.R.,
Distributed maximum likelihood estimation for flow and speed density prediction in distributed traffic detectors with gaussian mixture model assumption,
IET-ITS(6), No. 2, 2012, pp. 215-222.
DOI Link 1206
BibRef

Chan, K.Y.[Kit Yan], Dillon, T.S., Singh, J., Chang, E.,
Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm,
ITS(13), No. 2, June 2012, pp. 644-654.
IEEE DOI 1206
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

Chang, H., Lee, Y., Yoon, B., Baek, S.,
Dynamic near-term traffic flow prediction: systemoriented approach based on past experiences,
IET-ITS(6), No. 2, 2012, pp. 292-305.
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

Dong, J., Mahmassani, H.S.,
Stochastic Modeling of Traffic Flow Breakdown Phenomenon: Application to Predicting Travel Time Reliability,
ITS(13), No. 4, December 2012, pp. 1803-1809.
IEEE DOI 1212
BibRef

Chen, C., Liu, Z., Lin, W.H., Li, S., Wang, K.,
Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting,
ITS(14), No. 1, March 2013, pp. 22-33.
IEEE DOI 1303
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

Lippi, M., Bertini, M., Frasconi, P.,
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning,
ITS(14), No. 2, 2013, pp. 871-882.
IEEE DOI 1307
Graphical models; Time series analysis; Intelligent transportation systems; traffic forecasting 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

Kong, Q.J., Xu, Y., Lin, S., Wen, D., Zhu, F., Liu, Y.C.[Yun-Cai],
UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems,
ITS(14), No. 3, 2013, pp. 1541-1547.
IEEE DOI 1309
CORSIM BibRef

Xu, Y.Y.[Yan-Yan], Kong, Q.J.[Qing-Jie], Klette, R.[Reinhard], Liu, Y.C.[Yun-Cai],
Accurate and Interpretable Bayesian MARS for Traffic Flow Prediction,
ITS(15), No. 6, December 2014, pp. 2457-2469.
IEEE DOI 1412
Markov processes BibRef

Zhang, J.D., Xu, J., Liao, S.S.,
Aggregating and Sampling Methods for Processing GPS Data Streams for Traffic State Estimation,
ITS(14), No. 4, 2013, pp. 1629-1641.
IEEE DOI 1312
Global Positioning System BibRef

Jeong, Y.S., Byon, Y.J., Castro-Neto, M.M., Easa, S.M.,
Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction,
ITS(14), No. 4, 2013, pp. 1700-1707.
IEEE DOI 1312
Artificial neural networks 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

Tahmasbi, R., Hashemi, S.M.,
Modeling and Forecasting the Urban Volume Using Stochastic Differential Equations,
ITS(15), No. 1, February 2014, pp. 250-259.
IEEE DOI 1403
differential equations BibRef

Wang, Y.B.[Yu-Bin], Van Schuppen, J.H., Vrancken, J.,
Prediction of Traffic Flow at the Boundary of a Motorway Network,
ITS(15), No. 1, February 2014, pp. 214-227.
IEEE DOI 1403
adaptive control 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

Daraghmi, Y., Yi, C., Chiang, T.,
Negative Binomial Additive Models for Short-Term Traffic Flow Forecasting in Urban Areas,
ITS(15), No. 2, April 2014, pp. 784-793.
IEEE DOI 1404
Additives 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

Asif, M.T., Dauwels, J., Goh, C.Y., Oran, A., Fathi, E., Xu, M., Dhanya, M.M., Mitrovic, N., Jaillet, P.,
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction,
ITS(15), No. 2, April 2014, pp. 794-804.
IEEE DOI 1404
Accuracy BibRef

Li, Z., Liu, P., Wang, W., Xu, C.,
Development of a Control Strategy of Variable Speed Limits to Reduce Rear-End Collision Risks Near Freeway Recurrent Bottlenecks,
ITS(15), No. 2, April 2014, pp. 866-877.
IEEE DOI 1404
Computer crashes BibRef

Li, Y., Xu, C., Xing, L., Wang, W.,
Integrated Cooperative Adaptive Cruise and Variable Speed Limit Controls for Reducing Rear-End Collision Risks Near Freeway Bottlenecks Based on Micro-Simulations,
ITS(18), No. 11, November 2017, pp. 3157-3167.
IEEE DOI 1711
Adaptation models, Automobiles, Data models, Manuals, Safety, Traffic control, Cooperative adaptive cruise control, BibRef

Li, Z., Liu, P., Xu, C., Duan, H., Wang, W.,
Reinforcement Learning-Based Variable Speed Limit Control Strategy to Reduce Traffic Congestion at Freeway Recurrent Bottlenecks,
ITS(18), No. 11, November 2017, pp. 3204-3217.
IEEE DOI 1711
Adaptive control, Computational modeling, Heuristic algorithms, Optimization, Traffic control, Variable speed limit, BibRef

Li, J.,
Bandwidth Synchronization Under Progression Time Uncertainty,
ITS(15), No. 2, April 2014, pp. 749-759.
IEEE DOI 1404
Bandwidth BibRef

Lopes, S.B.[Simone Becker], Brondino, N.C.M.[Nair Cristina Margarido], Rodrigues da Silva, A.N.[Antônio Nélson],
GIS-Based Analytical Tools for Transport Planning: Spatial Regression Models for Transportation Demand Forecast,
IJGI(3), No. 2, 2014, pp. 565-583.
DOI Link 1405
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

Ahmad, A.[Asif], Arshad, R.[Rabia], Mahmud, S.A.[Sahibzada Ali], Ahmad, G.M.K.[Gul Muhammad KhanFawad], Mahmud, S.A.[Sahibzada Ali], Yousaf, F.Z.[Faqir Zarrar],
Shortest Processing Time Scheduling to Reduce Traffic Congestion in Dense Urban Areas,
SMCS(47), No. 5, May 2017, pp. 838-855.
IEEE DOI 1704
Algorithm design and analysis 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

Bonnin, S., Weisswange, T.H., Kummert, F., Schmuedderich, J.,
General Behavior Prediction by a Combination of Scenario-Specific Models,
ITS(15), No. 4, August 2014, pp. 1478-1488.
IEEE DOI 1410
behavioural sciences computing 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

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

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

Abadi, A., Rajabioun, T., Ioannou, P.A.,
Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data,
ITS(16), No. 2, April 2015, pp. 653-662.
IEEE DOI 1504
Estimation BibRef

Lv, Y., Duan, Y., Kang, W., Li, Z., Wang, F.,
Traffic Flow Prediction With Big Data: A Deep Learning Approach,
ITS(16), No. 2, April 2015, pp. 865-873.
IEEE DOI 1504
Adaptation models BibRef

Chen, Y., Lv, Y., Wang, X., Li, L., Wang, F.,
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches,
ITS(20), No. 8, August 2019, pp. 3049-3058.
IEEE DOI 1908
Data mining, Twitter, Feature extraction, Support vector machines, Predictive models, Real-time systems, Deep learning, text mining BibRef

Lv, Y., Zhang, X., Kang, W., Duan, Y.,
Managing Emergency Traffic Evacuation With a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach,
ITS(16), No. 4, August 2015, pp. 2182-2191.
IEEE DOI 1508
Analytical models BibRef

Liu, Y.[Yang], Zhu, N.[Ning], Ma, S.[Shoufeng], 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

Tselentis, D.I., Vlahogianni, E.I., Karlaftis, M.G.,
Improving short-term traffic forecasts: To combine models or not to combine?,
IET-ITS(9), No. 2, 2015, pp. 193-201.
DOI Link 1504
autoregressive processes BibRef

Gori, S., Spada, S.L.[S. La], Mannini, L., Nigro, M.,
Emission dynamic meso-simulation model to evaluate traffic strategies in congested urban networks,
IET-ITS(9), No. 3, 2015, pp. 333-342.
DOI Link 1506
air pollution BibRef

Gan, H.C.[Hong-Cheng],
To switch travel mode or not? Impact of Smartphone delivered high-quality multimodal information,
IET-ITS(9), No. 4, 2015, pp. 382-390.
DOI Link 1506
mobile computing 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

Schlote, A., Chen, B., Shorten, R.,
On Closed-Loop Bicycle Availability Prediction,
ITS(16), No. 3, June 2015, pp. 1449-1455.
IEEE DOI 1506
Availability 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

Wolfermann, A., Gade, K., Jonkers, E.,
Impact of ITS on CO2 emissions: the contribution of a standardised assessment framework,
IET-ITS(9), No. 5, 2015, pp. 515-522.
DOI Link 1507
air pollution 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

Hou, Y., Edara, P., Sun, C.,
Traffic Flow Forecasting for Urban Work Zones,
ITS(16), No. 4, August 2015, pp. 1761-1770.
IEEE DOI 1508
Feedforward neural networks BibRef

Kehagias, D., Salamanis, A., Tzovaras, D.,
Speed pattern recognition technique for short-term traffic forecasting based on traffic dynamics,
IET-ITS(9), No. 6, 2015, pp. 646-653.
DOI Link 1509
forecasting theory 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

Janecek, A., Valerio, D., Hummel, K.A., Ricciato, F., Hlavacs, H.,
The Cellular Network as a Sensor: From Mobile Phone Data to Real-Time Road Traffic Monitoring,
ITS(16), No. 5, October 2015, pp. 2551-2572.
IEEE DOI 1511
cellular radio BibRef

Jerath, K., Ray, A., Brennan, S., Gayah, V.V.,
Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method,
ITS(16), No. 5, October 2015, pp. 2424-2434.
IEEE DOI 1511
adaptive control BibRef

Oh, S.D.[Se-Do], Kim, Y.J.[Young-Jin], Hong, J.S.[Ji-Sun],
Urban Traffic Flow Prediction System Using a Multifactor Pattern Recognition Model,
ITS(16), No. 5, October 2015, pp. 2744-2755.
IEEE DOI 1511
Gaussian processes 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

Dell'Acqua, P., Bellotti, F., Berta, R., de Gloria, A.,
Time-Aware Multivariate Nearest Neighbor Regression Methods for Traffic Flow Prediction,
ITS(16), No. 6, December 2015, pp. 3393-3402.
IEEE DOI 1512
Artificial neural networks BibRef

Lv, M., Chen, L., Wu, X., Chen, G.,
A Road Congestion Detection System Using Undedicated Mobile Phones,
ITS(16), No. 6, December 2015, pp. 3060-3072.
IEEE DOI 1512
Accelerometers 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

Nunes, A.A., Galvao Dias, T., Falcao e Cunha, J.,
Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation,
ITS(17), No. 1, January 2016, pp. 133-142.
IEEE DOI 1601
Accuracy BibRef

Tang, L.L.[Lu-Liang], Yang, X.[Xue], Kan, Z.[Zihan], Li, Q.Q.[Qing-Quan],
Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification,
IJGI(4), No. 4, 2015, pp. 2660.
DOI Link 1601
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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

Lopez-Garcia, P., Onieva, E., Osaba, E., Masegosa, A.D., Perallos, A.,
A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy,
ITS(17), No. 2, February 2016, pp. 557-569.
IEEE DOI 1602
Artificial neural networks BibRef

Chen, L., Englund, C.,
Cooperative Intersection Management: A Survey,
ITS(17), No. 2, February 2016, pp. 570-586.
IEEE DOI 1602
Computer integrated manufacturing BibRef

Weng, J., Xue, S., Yan, X.,
Modeling Vehicle Merging Behavior in Work Zone Merging Areas During the Merging Implementation Period,
ITS(17), No. 4, April 2016, pp. 917-925.
IEEE DOI 1604
Hidden Markov models 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

Oh, S., Byon, Y.J., Yeo, H.,
Improvement of Search Strategy With K-Nearest Neighbors Approach for Traffic State Prediction,
ITS(17), No. 4, April 2016, pp. 1146-1156.
IEEE DOI 1604
Acceleration 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

Zhang, Y.Y.[Ying-Ya], Ye, N.[Ning], Wang, R.[Ruchuan], Malekian, R.[Reza],
A Method for Traffic Congestion Clustering Judgment Based on Grey Relational Analysis,
IJGI(5), No. 5, 2016, pp. 71.
DOI Link 1606
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Fusco, G., Colombaroni, C., Isaenko, N.,
Comparative analysis of implicit models for real-time short-term traffic predictions,
IET-ITS(10), No. 4, 2016, pp. 270-278.
DOI Link 1606
Bayes methods BibRef

Cristiano, S.,
Testing energy and emissions assessment models: A highway case study in virtual reality,
IET-ITS(10), No. 4, 2016, pp. 251-257.
DOI Link 1606
air pollution BibRef

Hou, Z., Li, X.,
Repeatability and Similarity of Freeway Traffic Flow and Long-Term Prediction Under Big Data,
ITS(17), No. 6, June 2016, pp. 1786-1796.
IEEE DOI 1606
Analytical models 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

Zhao, J., Sun, S.,
High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction,
ITS(17), No. 7, July 2016, pp. 2014-2019.
IEEE DOI 1608
Gaussian processes 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

Assemi, B., Safi, H., Mesbah, M., Ferreira, L.,
Developing and Validating a Statistical Model for Travel Mode Identification on Smartphones,
ITS(17), No. 7, July 2016, pp. 1920-1931.
IEEE DOI 1608
data privacy BibRef

Tan, H., Wu, Y., Shen, B., Jin, P.J., Ran, B.,
Short-Term Traffic Prediction Based on Dynamic Tensor Completion,
ITS(17), No. 8, August 2016, pp. 2123-2133.
IEEE DOI 1608
Data models 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

Demissie, M.G., Phithakkitnukoon, S., Sukhvibul, T., Antunes, F., Gomes, R., Bento, C.,
Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal,
ITS(17), No. 9, September 2016, pp. 2466-2478.
IEEE DOI 1609
Africa BibRef

Xu, Y.[Yang], Shaw, S.L.[Shih-Lung], Fang, Z.X.[Zhi-Xiang], Yin, L.[Ling],
Estimating Potential Demand of Bicycle Trips from Mobile Phone Data: An Anchor-Point Based Approach,
IJGI(5), No. 8, 2016, pp. 131.
DOI Link 1609
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Lai, W.K.[Wei-Kuang], Kuo, T.H.[Ting-Huan],
Vehicle Positioning and Speed Estimation Based on Cellular Network Signals for Urban Roads,
IJGI(5), No. 10, 2016, pp. 181.
DOI Link 1610
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Yang, X.P.[Xi-Ping], Fang, Z.X.[Zhi-Xiang], Xu, Y.[Yang], Shaw, S.L.[Shih-Lung], Zhao, Z.Y.[Zhi-Yuan], Yin, L.[Ling], Zhang, T.[Tao], Lin, Y.[Yunong],
Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data,
IJGI(5), No. 10, 2016, pp. 177.
DOI Link 1610
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Lu, S.W.[Shi-Wei], Fang, Z.X.[Zhi-Xiang], Zhang, X.R.[Xi-Rui], Shaw, S.L.[Shih-Lung], Yin, L.[Ling], Zhao, Z.Y.[Zhi-Yuan], Yang, X.P.[Xi-Ping],
Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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
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And: Correction: IJGI(5), No. 12, 2016, pp. 226.
DOI Link 1612
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Su, X., Caceres, H., Tong, H., He, Q.,
Online Travel Mode Identification Using Smartphones With Battery Saving Considerations,
ITS(17), No. 10, October 2016, pp. 2921-2934.
IEEE DOI 1610
Global Positioning System BibRef

Zhang, W., Tang, J., Kristian, H., Zou, Y., Wang, Y.,
Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion,
IET-ITS(10), No. 8, 2016, pp. 524-534.
DOI Link 1610
data handling 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

Wright, M., Horowitz, R.,
Fusing Loop and GPS Probe Measurements to Estimate Freeway Density,
ITS(17), No. 12, December 2016, pp. 3577-3590.
IEEE DOI 1612
Density measurement 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

Das, R.D.[Rahul Deb], Winter, S.[Stephan],
Detecting Urban Transport Modes Using a Hybrid Knowledge Driven Framework from GPS Trajectory,
IJGI(5), No. 11, 2016, pp. 207.
DOI Link 1612
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Gu, Z.H.[Zhi-Hui], Zhang, Y.[Yan], Chen, Y.[Yu], Chang, X.M.[Xiao-Meng],
Analysis of Attraction Features of Tourism Destinations in a Mega-City Based on Check-in Data Mining: A Case Study of Shenzhen, China,
IJGI(5), No. 11, 2016, pp. 210.
DOI Link 1612
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

Hao, P.[Peng], Boriboonsomsin, K.[Kanok], Wu, G.Y.[Guo-Yuan], Barth, M.J.[Matthew J.],
Modal Activity-Based Stochastic Model for Estimating Vehicle Trajectories from Sparse Mobile Sensor Data,
ITS(18), No. 3, March 2017, pp. 701-711.
IEEE DOI 1703
Data models BibRef

Shan, X., Hao, P.[Peng], Chen, X., Boriboonsomsin, K.[Kanok], Wu, G.Y.[Guo-Yuan], Barth, M.J.[Matthew J.],
Vehicle Energy/Emissions Estimation Based on Vehicle Trajectory Reconstruction Using Sparse Mobile Sensor Data,
ITS(20), No. 2, February 2019, pp. 716-726.
IEEE DOI 1902
Trajectory, Acceleration, Estimation, Hidden Markov models, Vehicle dynamics, Roads, Data models, Modal activity, maximum likelihood estimation 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

Zhong, G., Wan, X., Zhang, J., Yin, T., Ran, B.,
Characterizing Passenger Flow for a Transportation Hub Based on Mobile Phone Data,
ITS(18), No. 6, June 2017, pp. 1507-1518.
IEEE DOI 1706
Base stations, Matrix converters, Mobile communication, Mobile handsets, Time series analysis, Transportation, Urban areas, Base station, mobile phone data, passenger transportation hub, temporal-spatial clustering, wireless, communication 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

Abbasi, O.R.[Omid Reza], Alesheikh, A.A.[Ali Asghar], Sharif, M.[Mohammad],
Ranking the City: The Role of Location-Based Social Media Check-Ins in Collective Human Mobility Prediction,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link 1706
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

Tian, D.X.[Da-Xin], Shan, X.Y.[Xiong-Yu], Sheng, Z.G.[Zheng-Guo], Wang, Y.P.[Yun-Peng], Tang, W.Z.[Wen-Zhong], Wang, J.[Jian],
Break-taking behaviour pattern of long-distance freight vehicles based on GPS trajectory data,
IET-ITS(11), No. 6, August 2017, pp. 340-348.
DOI Link 1707
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

Zhou, C., Jia, H., Juan, Z., Fu, X., Xiao, G.,
A Data-Driven Method for Trip Ends Identification Using Large-Scale Smartphone-Based GPS Tracking Data,
ITS(18), No. 8, August 2017, pp. 2096-2110.
IEEE DOI 1708
Big data, Data models, Global Positioning System, Internet, Timing, Transportation, GPS tracking data processing, data-driven method, random forest, trip, ends, identification 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

Al Mallah, R., Quintero, A., Farooq, B.,
Distributed Classification of Urban Congestion Using VANET,
ITS(18), No. 9, September 2017, pp. 2435-2442.
IEEE DOI 1709
traffic engineering computing, heterogeneous urban road network, real-time distributed classification, Feature extraction, Meteorology, Monitoring, Trajectory, Event classification, BibRef

Tang, J., Liu, F., Zou, Y., Zhang, W., Wang, Y.,
An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic,
ITS(18), No. 9, September 2017, pp. 2340-2350.
IEEE DOI 1709
Gaussian processes, forecasting theory, fuzzy neural nets, fuzzy reasoning, Takagi-Sugeno type fuzzy rules, BibRef

Basyoni, Y.[Yarah], Abbas, H.M.[Hazem M.], Talaat, H.[Hoda], El Dimeery, I.[Ibrahim],
Speed prediction from mobile sensors using cellular phone-based traffic data,
IET-ITS(11), No. 7, September 2017, pp. 387-396.
DOI Link 1710
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

Lemmens, R.[Rob], Lungo, J.[Juma], Georgiadou, Y.[Yola], Verplanke, J.[Jeroen],
Monitoring Rural Water Points in Tanzania with Mobile Phones: The Evolution of the SEMA App,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
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

Xiao, Z., Ponnambalam, L., Fu, X., Zhang, W.,
Maritime Traffic Probabilistic Forecasting Based on Vessels-Waterway Patterns and Motion Behaviors,
ITS(18), No. 11, November 2017, pp. 3122-3134.
IEEE DOI 1711
Artificial intelligence, Data mining, Forecasting, Planning, Prediction algorithms, Stability analysis, Transportation, Data mining, knowledge discovery, knowledge engineering, marine, transportation 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

Wang, Q.[Qi], Wan, J.[Jia], Yuan, Y.[Yuan],
Locality constraint distance metric learning for traffic congestion detection,
PR(75), No. 1, 2018, pp. 272-281.
Elsevier DOI 1712
Distance metric learning 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

Sun, B.[Bin], Cheng, W.[Wei], Goswami, P.[Prashant], Bai, G.[Guohua],
Short-term traffic forecasting using self-adjusting k-nearest neighbours,
IET-ITS(12), No. 1, February 2018, pp. 41-48.
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

Ding, C., Duan, J., Zhang, Y., Wu, X., Yu, G.,
Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility,
ITS(19), No. 4, April 2018, pp. 1054-1064.
IEEE DOI 1804
Analytical models, Forecasting, Mathematical model, Predictive models, Public transportation, Reliability, prediction interval 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

Yang, M.[Mengke], Cheng, C.Q.[Cheng-Qi], Chen, B.[Bo],
Mining Individual Similarity by Assessing Interactions with Personally Significant Places from GPS Trajectories,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Rupi, F.[Federico], Schweizer, J.[Joerg],
Evaluating cyclist patterns using GPS data from smartphones,
IET-ITS(12), No. 4, May 2018, pp. 279-285.
DOI Link 1804
BibRef

Senaratne, H., Mueller, M., Behrisch, M., Lalanne, F., Bustos-Jiménez, J., Schneidewind, J., Keim, D., Schreck, T.,
Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach,
ITS(19), No. 5, May 2018, pp. 1537-1546.
IEEE DOI 1805
Antennas, Data visualization, GSM, Mobile communication, Trajectory, Urban areas, Visual analytics, Visual analytics, urban dynamics BibRef

Wang, B., Gao, L., Juan, Z.,
Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier,
ITS(19), No. 5, May 2018, pp. 1547-1558.
IEEE DOI 1805
Automobiles, Feature extraction, Global Positioning System, Public transportation, Smart phones, GPS data, ROC curve, socioeconomic attributes 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

Jin, C.J.[Cheng-Jie], Knoop, V.L.[Victor L.], Jiang, R.[Rui], Wang, W.[Wei], Wang, H.[Hao],
Calibration and validation of cellular automaton traffic flow model with empirical and experimental data,
IET-ITS(12), No. 5, June 2018, pp. 359-365.
DOI Link 1805
BibRef

Zhao, J.[Jing], Li, P.[Peng], Zheng, Z.[Zhe], Han, Y.[Yin],
Analysis of saturation flow rate at tandem intersections using field data,
IET-ITS(12), No. 5, June 2018, pp. 394-403.
DOI Link 1805
BibRef

Han, S.S.[Shan-Shan], Ren, F.[Fu], Wu, C.[Chao], Chen, Y.[Ying], Du, Q.Y.[Qing-Yun], Ye, X.Y.[Xin-Yue],
Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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

Yin, M., Sheehan, M., Feygin, S., Paiement, J.F., Pozdnoukhov, A.,
A Generative Model of Urban Activities from Cellular Data,
ITS(19), No. 6, June 2018, pp. 1682-1696.
IEEE DOI 1806
Activity recognition, Analytical models, Context modeling, Data models, Global Positioning System, Hidden Markov models, latent variables 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

Cheng, S.[Shifen], Lu, F.[Feng], Peng, P.[Peng], Wu, S.[Sheng],
A Spatiotemporal Multi-View-Based Learning Method for Short-Term Traffic Forecasting,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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

Wang, X.X.[Xiang-Xue], Xu, L.H.[Lun-Hui],
Wavelet-based short-term forecasting with improved threshold recognition for urban expressway traffic conditions,
IET-ITS(12), No. 6, August 2018, pp. 463-473.
DOI Link 1807
BibRef

Zheng, L.[Liang], Zhu, C.[Chuang], Zhu, N.[Ning], He, T.[Tian], Dong, N.[Ni], Huang, H.[Helai],
Feature selection-based approach for urban short-term travel speed prediction,
IET-ITS(12), No. 6, August 2018, pp. 474-484.
DOI Link 1807
BibRef

Zhang, Y.[Yaying], Huang, G.[Guan],
traffic flow prediction model based on deep belief network and genetic algorithm,
IET-ITS(12), No. 6, August 2018, pp. 533-541.
DOI Link 1807
BibRef

Wang, X.O.[Xi-Ong], Zhang, J.B.[Jin-Bei], Tian, X.H.[Xiao-Hua], Gan, X.Y.[Xiao-Ying], Guan, Y.F.[Yun-Feng], Wang, X.B.[Xin-Bing],
Crowdsensing-Based Consensus Incident Report for Road Traffic Acquisition,
ITS(19), No. 8, August 2018, pp. 2536-2547.
IEEE DOI 1808
Roads, Reliability, Sensors, Mobile communication, Inference algorithms, Smart phones, Wireless sensor networks, incentive 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

Zhang, D.[Da], Kabuka, M.R.[Mansur R.],
Combining weather condition data to predict traffic flow: A GRU-based deep learning approach,
IET-ITS(12), No. 7, September 2018, pp. 578-585.
DOI Link 1808
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

Besse, P.C., Guillouet, B., Loubes, J., Royer, F.,
Destination Prediction by Trajectory Distribution-Based Model,
ITS(19), No. 8, August 2018, pp. 2470-2481.
IEEE DOI 1808
Trajectory, Public transportation, Predictive models, Roads, Data models, Markov processes, Vehicles, Trajectory classification, final destination prediction BibRef

Batran, M.[Mohamed], Mejia, M.G.[Mariano Gregorio], Kanasugi, H.[Hiroshi], Sekimoto, Y.[Yoshihide], Shibasaki, R.[Ryosuke],
Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining,
IJGI(7), No. 7, 2018, pp. xx-yy.
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

Ou, J.[Jishun], Yang, S.[Shu], Wu, Y.J.[Yao-Jan], An, C.C.[Cheng-Chuan], Xia, J.X.[Jing-Xin],
Systematic clustering method to identify and characterise spatiotemporal congestion on freeway corridors,
IET-ITS(12), No. 8, October 2018, pp. 826-837.
DOI Link 1809
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

Huang, W., Jia, W., Guo, J., Williams, B.M., Shi, G., Wei, Y., Cao, J.,
Real-Time Prediction of Seasonal Heteroscedasticity in Vehicular Traffic Flow Series,
ITS(19), No. 10, October 2018, pp. 3170-3180.
IEEE DOI 1810
Predictive models, Adaptation models, Data models, Forecasting, Analytical models, Real-time systems, Transportation, adaptive Kalman filter BibRef

Kim, Y.S.[Young-Sung], Ghorpade, A.[Ajinkya], Zhao, F.[Fang], Pereira, F.C.[Francisco C.], Zegras, P.C.[P. Christopher], Ben-Akiva, M.[Moshe],
Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System,
IEEE_Int_Sys(33), No. 4, July 2018, pp. 5-23.
IEEE DOI 1810
BibRef
Earlier: A1, A4, A3, A2, A5, A6:
Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data,
ICPR14(432-437)
IEEE DOI 1412
Frequency modulation, Quantization (signal), Activity recognition, Global Positioning System, Sociology, interactive data collection. Accuracy. Transport models, why the trip is made. 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

Maeda, T.N.[Takashi Nicholas], Mori, J.[Junichiro], Ochi, M.[Masanao], Sakimoto, T.[Tetsuo], Sakata, I.[Ichiro],
Measurement of Opportunity Cost of Travel Time for Predicting Future Residential Mobility Based on the Smart Card Data of Public Transportation,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Zhan, H., Gomes, G., Li, X.S., Madduri, K., Sim, A., Wu, K.,
Consensus Ensemble System for Traffic Flow Prediction,
ITS(19), No. 12, December 2018, pp. 3903-3914.
IEEE DOI 1812
Predictive models, Computational modeling, Forecasting, Time series analysis, Data models, traffic flow prediction 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.[Yanbo],
Approach to discovering companion patterns based on traffic data stream,
IET-ITS(12), No. 10, December 2018, pp. 1351-1359.
DOI Link 1812
BibRef

Xue, Z.L.[Ze-Long], Xue, Y.[Yang],
Multi Long-Short Term Memory Models for Short Term Traffic Flow Prediction,
IEICE(E101-D), No. 12, December 2018, pp. 3272-3275.
WWW 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

Szymanski, P., Zolnieruk, M., Oleszczyk, P., Gisterek, I., Kajdanowicz, T.,
Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wroclaw,
ITS(19), No. 11, November 2018, pp. 3652-3661.
IEEE DOI 1812
delays, Global Positioning System, pattern clustering, public transport, road traffic, road vehicles, smart cards, vehicle location 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

Chen, M., Yu, X., Liu, Y.,
PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction,
ITS(19), No. 11, November 2018, pp. 3550-3559.
IEEE DOI 1812
convolution, feedforward neural nets, learning (artificial intelligence), road traffic, time series, convolutional neural network 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

Zhou, Z.P.[Zhu-Ping], Yang, J.[Jiwei], Qi, Y.[Yong], Cai, Y.F.[Yi-Fei],
Support vector machine and back propagation neutral network approaches for trip mode prediction using mobile phone data,
IET-ITS(12), No. 10, December 2018, pp. 1220-1226.
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

Song, Y., Wang, X., Wright, G., Thatcher, D., Wu, P., Felix, P.,
Traffic Volume Prediction With Segment-Based Regression Kriging and its Implementation in Assessing the Impact of Heavy Vehicles,
ITS(20), No. 1, January 2019, pp. 232-243.
IEEE DOI 1901
Roads, Maintenance engineering, Predictive models, Australia, Correlation, Estimation, Sociology, Geostatistics, road maintenance BibRef

Ashqar, H.I., Almannaa, M.H., Elhenawy, M., Rakha, H.A., House, L.,
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains,
ITS(20), No. 1, January 2019, pp. 244-252.
IEEE DOI 1901
Feature extraction, Frequency-domain analysis, Transportation, Sensors, Time-domain analysis, Global Positioning System, hierarchical modeling 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

Chu, K., Saigal, R., Saitou, K.,
Real-Time Traffic Prediction and Probing Strategy for Lagrangian Traffic Data,
ITS(20), No. 2, February 2019, pp. 497-506.
IEEE DOI 1902
Data models, Real-time systems, Predictive models, Adaptation models, Computational modeling, Stochastic processes, adaptive data collection 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

Chen, X.(.[Xiqun (Michael)], Zhang, S.[Shuaichao], Li, L.[Li],
Multi-model ensemble for short-term traffic flow prediction under normal and abnormal conditions,
IET-ITS(13), No. 2, February 2019, pp. 260-268.
DOI Link 1902
BibRef

Pamula, T.,
Impact of Data Loss for Prediction of Traffic Flow on an Urban Road Using Neural Networks,
ITS(20), No. 3, March 2019, pp. 1000-1009.
IEEE DOI 1903
Roads, Neurons, Neural networks, Machine learning, Predictive models, Data models, Adaptation models, Deep learning, sensitivity to loss of data BibRef

Ghahramani, M., Zhou, M., Hon, C.T.,
Extracting Significant Mobile Phone Interaction Patterns Based on Community Structures,
ITS(20), No. 3, March 2019, pp. 1031-1041.
IEEE DOI 1903
Mobile handsets, Urban areas, Data analysis, Clustering methods, Transportation, Planning, Spatial databases, Big data, spatio-temporal analysis BibRef

Dey, B.[Bhaskar], Kundu, M.K.[Malay Kumar],
Turning video into traffic data- an application to urban intersection analysis using transfer learning,
IET-IPR(13), No. 4, March 2019, pp. 673-679.
DOI Link 1903
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

Diao, Z., Zhang, D., Wang, X., Xie, K., He, S., Lu, X., Li, Y.,
A Hybrid Model for Short-Term Traffic Volume Prediction in Massive Transportation Systems,
ITS(20), No. 3, March 2019, pp. 935-946.
IEEE DOI 1903
Predictive models, Forecasting, Transportation, Autoregressive processes, Discrete wavelet transforms, Gaussian process (GP) BibRef

Ghanim, M.S.[Mohammad S.], Abu-Lebdeh, G.[Ghassan],
Projected state-wide traffic forecast parameters using artificial neural networks,
IET-ITS(13), No. 4, April 2019, pp. 661-669.
DOI Link 1903
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

Chen, X., Zhang, S., Li, L., Li, L.,
Adaptive Rolling Smoothing With Heterogeneous Data for Traffic State Estimation and Prediction,
ITS(20), No. 4, April 2019, pp. 1247-1258.
IEEE DOI 1904
State estimation, Smoothing methods, Time measurement, Vehicle dynamics, Cameras, Microwave measurement, urban expressway 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

Mackenzie, J., Roddick, J.F., Zito, R.,
An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction,
ITS(20), No. 5, May 2019, pp. 1847-1857.
IEEE DOI 1905
Roads, Neural networks, Prediction algorithms, Traffic control, Predictive models, Timing, Arterial road networks, traffic-flow prediction 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

Zhou, T.[Teng], Jiang, D.[Dazhi], Lin, Z.[Zhizhe], Han, G.[Guoqiang], Xu, X.[Xuemiao], Qin, J.[Jing],
Hybrid dual Kalman filtering model for short-term traffic flow forecasting,
IET-ITS(13), No. 6, June 2019, pp. 1023-1032.
DOI Link 1906
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Cai, L.R.[Ling-Ru], Chen, Q.[Qian], Cai, W.H.[Wei-Hong], Xu, X.M.[Xue-Miao], Zhou, T.[Teng], Qin, J.[Jing],
SVRGSA: a hybrid learning based model for short-term traffic flow forecasting,
IET-ITS(13), No. 9, September 2019, pp. 1348-1355.
DOI Link 1908
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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
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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
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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
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Lin, Y., Dai, X., Li, L., Wang, F.,
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework,
ITS(20), No. 6, June 2019, pp. 2395-2400.
IEEE DOI 1906
Predictive models, Biological system modeling, Data models, Automation, Machine learning, Industries, Traffic flow prediction, generative adversarial network BibRef

Ke, X., Shi, L., Guo, W., Chen, D.,
Multi-Dimensional Traffic Congestion Detection Based on Fusion of Visual Features and Convolutional Neural Network,
ITS(20), No. 6, June 2019, pp. 2157-2170.
IEEE DOI 1906
Roads, Feature extraction, Videos, Visualization, Cameras, Surveillance, Traffic congestion detection, optical flow BibRef

Feng, X., Ling, X., Zheng, H., Chen, Z., Xu, Y.,
Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction,
ITS(20), No. 6, June 2019, pp. 2001-2013.
IEEE DOI 1906
Kernel, Support vector machines, Predictive models, Correlation, Prediction algorithms, Real-time systems, Forecasting, spatial-temporal correlation 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

Ganapathy, J.[Jayanthi], Paramasivam, J.[Jothilakshmi],
Prediction of traffic volume by mining traffic sequences using travel time based PrefixSpan,
IET-ITS(13), No. 7, July 2019, pp. 1199-1210.
DOI Link 1906
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Zhu, Z., Chen, X., Zhang, X., Zhang, L.,
Probabilistic Data Fusion for Short-Term Traffic Prediction With Semiparametric Density Ratio Model,
ITS(20), No. 7, July 2019, pp. 2459-2469.
IEEE DOI 1907
Data integration, Predictive models, Probabilistic logic, Data models, Time series analysis, Artificial neural networks, probability distribution 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

Demissie, M.G., Phithakkitnukoon, S., Kattan, L.,
Trip Distribution Modeling Using Mobile Phone Data: Emphasis on Intra-Zonal Trips,
ITS(20), No. 7, July 2019, pp. 2605-2617.
IEEE DOI 1907
Mobile handsets, Poles and towers, Data models, Estimation, Gravity, Transportation, Sociology, Gravity model, intra-zonal trips, trip distribution model 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

Yang, D.[Di], Li, S.J.[Song-Jiang], Peng, Z.[Zhou], Wang, P.[Peng], Wang, J.H.[Jun-Hui], Yang, H.M.[Hua-Min],
MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and Multi-Features Fusion,
IEICE(E102-D), No. 8, August 2019, pp. 1526-1536.
WWW Link. 1908
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Liu, Y.[Yu], Liu, Z.[Zhao], Li, X.G.[Xiu-Gang], Huang, W.[Wei], Wei, Y.[Yun], Cao, J.[Jinde], Guo, J.H.[Jian-Hua],
Dynamic traffic demand uncertainty prediction using radio-frequency identification data and link volume data,
IET-ITS(13), No. 8, August 2019, pp. 1309-1317.
DOI Link 1908
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He, S.L.[Shang-Lu], Ding, F.[Fan], Zhou, Y.[Yang], Cheng, Y.[Yang], Ran, B.[Bin],
Investigating and modelling the relationship between traffic volume and extracts from cellphone activity data,
IET-ITS(13), No. 8, August 2019, pp. 1299-1308.
DOI Link 1908
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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
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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,
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Yu, Q.[Qingying], Luo, Y.[Yonglong], Chen, C.[Chuanming], Zheng, X.[Xiaoyao],
Road Congestion Detection Based on Trajectory Stay-Place Clustering,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
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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.
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Deng, Y.[Yue], Liu, J.P.[Ji-Ping], Liu, Y.[Yang], Luo, A.[An],
Detecting Urban Polycentric Structure from POI Data,
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Urban sub-senters. Peaks of human activity. BibRef

Wu, H.[Hao], Liu, L.[Lingbo], Yu, Y.[Yang], Peng, Z.H.[Zheng-Hong], Jiao, H.[Hongzan], Niu, Q.A.[Qi-Ang],
An Agent-based Model Simulation of Human Mobility Based on Mobile Phone Data: How Commuting Relates to Congestion,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
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Gu, Q.S.[Qiu-Shi], Zhang, H.P.[Hai-Ping], Chen, M.[Min], Chen, C.C.[Chong-Cheng],
Regionalization Analysis and Mapping for the Source and Sink of Tourist Flows,
IJGI(8), No. 7, 2019, pp. xx-yy.
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Rupi, F.[Federico], Poliziani, C.[Cristian], Schweizer, J.[Joerg],
Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone,
IJGI(8), No. 8, 2019, pp. xx-yy.
DOI Link 1909
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Duan, P., Mao, G., Liang, W., Zhang, D.,
A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction,
ITS(20), No. 9, September 2019, pp. 3212-3223.
IEEE DOI 1909
Roads, Predictive models, Correlation, Data models, Computational modeling, Neural networks, Network topology, unified 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

Ivanovic, S.S.[Stefan S.], Olteanu-Raimond, A.M.[Ana-Maria], Mustière, S.[Sébastien], Devogele, T.[Thomas],
A Filtering-Based Approach for Improving Crowdsourced GNSS Traces in a Data Update Context,
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

Hadavi, S., Verlinde, S., Verbeke, W., Macharis, C., Guns, T.,
Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles,
ITS(20), No. 10, October 2019, pp. 3747-3758.
IEEE DOI 1910
Global Positioning System, Trajectory, Urban areas, Pollution measurement, Roads, Monitoring, Europe, data analysis BibRef

Zheng, Z., Yang, Y., Liu, J., Dai, H., Zhang, Y.,
Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics,
ITS(20), No. 10, October 2019, pp. 3927-3939.
IEEE DOI 1910
Meteorology, Predictive models, Urban areas, Deep learning, Sensors, Roads, Informatics, Urban informatics, traffic flow prediction, deep learning BibRef

Guo, S., Lin, Y., Li, S., Chen, Z., Wan, H.,
Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting,
ITS(20), No. 10, October 2019, pp. 3913-3926.
IEEE DOI 1910
Correlation, Forecasting, Data models, Feature extraction, Predictive models, Solid modeling, recalibration block 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


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
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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
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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

Hou, J., Chen, J., Liao, S., Wen, J., Xiong, Q.,
Predicting Traffic Flow via Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations,
ICPR18(1487-1492)
IEEE DOI 1812
Predictive models, Data models, Optimization, Task analysis, Kernel, Convolutional neural networks BibRef

Zhang, Q., Jin, Q., Chang, J., Xiang, S., Pan, C.,
Kernel-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic Forecasting,
ICPR18(1018-1023)
IEEE DOI 1812
Kernel, Forecasting, Roads, Task analysis, Convolution, Convolutional neural networks BibRef

Jiber, M., Lamouik, I., Ali, Y., Sabri, M.A.,
Traffic flow prediction using neural network,
ISCV18(1-4)
IEEE DOI 1807
neural nets, road traffic, traffic engineering computing, transportation, Moroccan center, neural network model, neural network 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
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Alaigba, D.B., Soumah, M., Banjo, M.O.,
Heterogeneity Index for the Assessment of Relationship Between Land Use Pattern and Road Traffic Congestion in Apapa-Oworoshoki Express Way, Lagos Metropolis,
Hannover17(189-196).
DOI Link 1805
BibRef

Priambodo, B.[Bagus], Ahmad, A.[Azlina],
Predicting Traffic Flow Based on Average Speed of Neighbouring Road Using Multiple Regression,
IVIC17(309-318).
Springer DOI 1711
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
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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
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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

Anbaroglu, B., Heydecker, B., Cheng, T.,
How Travel Demand Affects Detection Of Non-recurrent Traffic Congestion On Urban Road Networks,
ISPRS16(B2: 159-164).
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

Al Halawani, S.[Sawsan], Mitra, N.J.[Niloy J.],
Congestion-Aware Warehouse Flow Analysis and Optimization,
ISVC15(II: 702-711).
Springer DOI 1601
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Shared Ride Systems, Car Sharing, Bike Sharing, Taxi, Analysis .


Last update:Dec 4, 2019 at 17:24:08