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 Traffic Control, Traffic Analysis, Not Image Analysis. 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
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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
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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
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Braun, M., Winter, S.,
Ad Hoc Solution of the Multicommodity-Flow-Over-Time Problem,
ITS(10), No. 4, December 2009, pp. 658-667.
IEEE DOI 0912
Ad hoc shared ride systems. 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
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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
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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
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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
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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

Simaiakis, I., Sandberg, M., Balakrishnan, H.,
Dynamic Control of Airport Departures: Algorithm Development and Field Evaluation,
ITS(15), No. 1, February 2014, pp. 285-295.
IEEE DOI 1403
air traffic control 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.[Yubin], 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

Burgain, P., Kim, S.H., Feron, E.,
Valuating Surface Surveillance Technology for Collaborative Multiple-Spot Control of Airport Departure Operations,
ITS(15), No. 2, April 2014, pp. 710-722.
IEEE DOI 1404
Aircraft BibRef

Wei, P., Spiers, G., Sun, D.,
Algebraic Connectivity Maximization for Air Transportation Networks,
ITS(15), No. 2, April 2014, pp. 685-698.
IEEE DOI 1404
Aircraft BibRef

Zhang, G., Zhang, H., Li, L., Dai, C.,
Agent-Based Simulation and Optimization of Urban Transit System,
ITS(15), No. 2, April 2014, pp. 589-596.
IEEE DOI 1404
Algorithm design and analysis BibRef

Kim, S.H., Feron, E.,
Impact of Gate Assignment on Departure Metering,
ITS(15), No. 2, April 2014, pp. 699-709.
IEEE DOI 1404
Aircraft 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
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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
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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
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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

Chen, C.[Chao], Zhang, D.[Daqing], Li, N.[Nan], Zhou, Z.H.[Zhi-Hua],
B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces,
ITS(15), No. 4, August 2014, pp. 1451-1465.
IEEE DOI 1410
Global Positioning System 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

Jorge, D., Correia, G.H.A., Barnhart, C.,
Comparing Optimal Relocation Operations With Simulated Relocation Policies in One-Way Carsharing Systems,
ITS(15), No. 4, August 2014, pp. 1667-1675.
IEEE DOI 1410
mathematical programming 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

He, W.[Wen], Hwang, K.[Kai], Li, D.[Deyi],
Intelligent Carpool Routing for Urban Ridesharing by Mining GPS Trajectories,
ITS(15), No. 5, October 2014, pp. 2286-2296.
IEEE DOI 1410
Global Positioning System 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

Wang, Y.H.[Yi-Hui], De Schutter, B., van den Boom, T.J.J., Ning, B.[Bin], Tang, T.[Tao],
Efficient Bilevel Approach for Urban Rail Transit Operation With Stop-Skipping,
ITS(15), No. 6, December 2014, pp. 2658-2670.
IEEE DOI 1412
integer programming BibRef

Yan, S.[Shangyao], 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

Lin, Y., Wan, H., Jiang, R., Wu, Z., Jia, X.,
Inferring the Travel Purposes of Passenger Groups for Better Understanding of Passengers,
ITS(16), No. 1, February 2015, pp. 235-243.
IEEE DOI 1502
Business 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

Huang, S.C.[Shih-Chia], Jiau, M.K.[Ming-Kai], Lin, C.,
A Genetic-Algorithm-Based Approach to Solve Carpool Service Problems in Cloud Computing,
ITS(16), No. 1, February 2015, pp. 352-364.
IEEE DOI 1502
Biological cells BibRef

Jiau, M.K.[Ming-Kai], Huang, S.C.[Shih-Chia],
Services-Oriented Computing Using the Compact Genetic Algorithm for Solving the Carpool Services Problem,
ITS(16), No. 5, October 2015, pp. 2711-2722.
IEEE DOI 1511
genetic algorithms BibRef

van der Hurk, E., Kroon, L., Maroti, G., Vervest, P.,
Deduction of Passengers' Route Choices From Smart Card Data,
ITS(16), No. 1, February 2015, pp. 430-440.
IEEE DOI 1502
Clocks 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

Chou, C.S.[Chih-Sheng], Nichols, A.P.,
Deriving a surrogate safety measure for freeway incidents based on predicted end-of-queue properties,
IET-ITS(9), No. 1, 2015, pp. 22-29.
DOI Link 1503
queueing theory 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

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

Lei, C., Lin, W., Miao, L.,
A Stochastic Emergency Vehicle Redeployment Model for an Effective Response to Traffic Incidents,
ITS(16), No. 2, April 2015, pp. 898-909.
IEEE DOI 1504
Dispatching 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

Daszczuk, W.B., Choroman´ski, W., Mies´cicki, J., Grabski, W.,
Empty vehicles management as a method for reducing passenger waiting time in Personal Rapid Transit networks,
IET-ITS(9), No. 3, 2015, pp. 231-239.
DOI Link 1506
demand forecasting 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

Cadarso, L., Maroti, G., Marin, A.,
Smooth and Controlled Recovery Planning of Disruptions in Rapid Transit Networks,
ITS(16), No. 4, August 2015, pp. 2192-2202.
IEEE DOI 1508
Computational modeling BibRef

Chung, Y., Recker, W.W.,
Frailty Models for the Estimation of Spatiotemporally Maximum Congested Impact Information on Freeway Accidents,
ITS(16), No. 4, August 2015, pp. 2104-2112.
IEEE DOI 1508
Accidents 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

Syrjarinne, P., Nummenmaa, J., Thanisch, P., Kerminen, R., Hakulinen, E.,
Analysing traffic fluency from bus data,
IET-ITS(9), No. 6, 2015, pp. 566-572.
DOI Link 1509
data mining BibRef

Hosu, A.C., Kiss, Z.I., Ivanciu, I.A., Varga, M., Polgar, Z.A.,
Integrated ubiquitous connectivity and centralised information platform for intelligent public transportation systems,
IET-ITS(9), No. 6, 2015, pp. 573-581.
DOI Link 1509
public transport 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

Pelzer, D., Xiao, J.[Jiajian], Zehe, D., Lees, M.H., Knoll, A.C., Aydt, H.,
A Partition-Based Match Making Algorithm for Dynamic Ridesharing,
ITS(16), No. 5, October 2015, pp. 2587-2598.
IEEE DOI 1511
intelligent transportation systems 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

Moreira-Matias, L., Gama, J., Ferreira, M., Mendes-Moreira, J., Damas, L.,
Predicting Taxi-Passenger Demand Using Streaming Data,
ITS(14), No. 3, 2013, pp. 1393-1402.
IEEE DOI 1309
Autoregressive integrated moving average (ARIMA) 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

Leng, B., Du, H., Wang, J., Li, L., Xiong, Z.,
Analysis of Taxi Drivers' Behaviors Within a Battle Between Two Taxi Apps,
ITS(17), No. 1, January 2016, pp. 296-300.
IEEE DOI 1601
Cities and towns BibRef

An, S.[Shi], Zhang, X.M.[Xin-Ming], Wang, J.[Jian],
Finding Causes of Irregular Headways Integrating Data Mining and AHP,
IJGI(4), No. 4, 2015, pp. 2604.
DOI Link 1601
Transit system flows. 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

Pinelli, F., Nair, R., Calabrese, F., Berlingerio, M., Di Lorenzo, G., Sbodio, M.L.,
Data-Driven Transit Network Design From Mobile Phone Trajectories,
ITS(17), No. 6, June 2016, pp. 1724-1733.
IEEE DOI 1606
Antennas BibRef

Zhang, F., Jin, B., Wang, Z., Liu, H., Hu, J., Zhang, L.,
On Geocasting over Urban Bus-Based Networks by Mining Trajectories,
ITS(17), No. 6, June 2016, pp. 1734-1747.
IEEE DOI 1606
Delays BibRef

Yuan, W., Deng, P., Taleb, T., Wan, J., Bi, C.,
An Unlicensed Taxi Identification Model Based on Big Data Analysis,
ITS(17), No. 6, June 2016, pp. 1703-1713.
IEEE DOI 1606
Big data BibRef

Zhang, J., Wen, D., Zeng, S.,
A Discounted Trade Reduction Mechanism for Dynamic Ridesharing Pricing,
ITS(17), No. 6, June 2016, pp. 1586-1595.
IEEE DOI 1606
Companies BibRef

Schweizer, J., Bernardi, S., Rupi, F.,
Map-matching algorithm applied to bicycle global positioning system traces in Bologna,
IET-ITS(10), No. 4, 2016, pp. 244-250.
DOI Link 1606
Global Positioning System 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.[Zhixiang], 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
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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

Yang, G.[Gege], Song, C.[Ci], Shu, H.[Hua], Zhang, J.[Jia], Pei, T.[Tao], Zhou, C.[Chenghu],
Assessing Patient bypass Behavior Using Taxi Trip Origin-Destination (OD) Data,
IJGI(5), No. 9, 2016, pp. 157.
DOI Link 1610
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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
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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

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

Ni, M., He, Q., Gao, J.,
Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media,
ITS(18), No. 6, June 2017, pp. 1623-1632.
IEEE DOI 1706
Forecasting, Predictive models, Public transportation, Tagging, Twitter, Social media, event identification, social sensing, subway passenger flow prediction, transit, ridership BibRef

Tang, L.L.[Lu-Liang], Sun, F.[Fei], Kan, Z.[Zihan], Ren, C.[Chang], Cheng, L.L.[Lu-Ling],
Uncovering Distribution Patterns of High Performance Taxis from Big Trace Data,
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.[Jiwei], 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

Jung, J.[Jaeyoung], Sohn, K.[Keemin],
Deep-learning architecture to forecast destinations of bus passengers from entry-only smart-card data,
IET-ITS(11), No. 6, August 2017, pp. 334-339.
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

Zhang, D.Q., Sun, L., Li, B., Chen, C., Pan, G., Li, S.J., Wu, Z.,
Understanding Taxi Service Strategies From Taxi GPS Traces,
ITS(16), No. 1, February 2015, pp. 123-135.
IEEE DOI 1502
Cities and towns BibRef

Castro, P.S.[Pablo Samuel], Zhang, D.Q.[Da-Qing], Chen, C.[Chao], Li, S.J.[Shi-Jian], Pan, G.[Gang],
From taxi GPS traces to social and community dynamics: A survey,
Surveys(46), No. 2, November 2013, pp. Article No 17.
DOI Link 1402
Vehicles equipped with GPS localizers are an important sensory device for examining people's movements and activities. Taxis equipped with GPS localizers serve the transportation needs of a large number of people driven by diverse needs; 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

Ma, X., Ding, C., Luan, S., Wang, Y., Wang, Y.,
Prioritizing Influential Factors for Freeway Incident Clearance Time Prediction Using the Gradient Boosting Decision Trees Method,
ITS(18), No. 9, September 2017, pp. 2303-2310.
IEEE DOI 1709
decision trees, road accidents, 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

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

Kim, Y.S.[Young-Sung], Pereira, F.C.[Francisco C.], Zhao, F.[Fang], Ghorpade, A.[Ajinkya], Zegras, P.C.[P. Christopher], Ben-Akiva, M.[Moshe],
Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data,
ICPR14(432-437)
IEEE DOI 1412
Accuracy. Transport models, why the trip is made. BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Traffic Signal Control, Traffic Analysis, Not Image Analysis .


Last update:Sep 22, 2017 at 21:00:01