16.7.2.5.21 Travel Time, Evaluation

Chapter Contents (Back)
Travel Time. Routing.
See also Traffic, Routing, Evaluation.

Wu, C.H.[Chun-Hsin], Ho, J.M.[Jan-Ming], Lee, D.T.,
Travel-time prediction with support vector regression,
ITS(5), No. 4, December 2004, pp. 276-281.
IEEE Abstract. 0501
BibRef

de Feijter, R., Evers, J.J.M., Lodewijks, G.,
Improving travel-time reliability by the use of trip booking,
ITS(5), No. 4, December 2004, pp. 288-292.
IEEE Abstract. 0501
BibRef

Rice, J., van Zwet, E.,
A simple and effective method for predicting travel times on freeways,
ITS(5), No. 3, September 2004, pp. 200-207.
IEEE Abstract. 0501
BibRef

van Lint, J.W.C.,
Online Learning Solutions for Freeway Travel Time Prediction,
ITS(9), No. 1, March 2008, pp. 38-47.
IEEE DOI 0803
BibRef

Jula, H., Dessouky, M., Ioannou, P.A.,
Real-Time Estimation of Travel Times Along the Arcs and Arrival Times at the Nodes of Dynamic Stochastic Networks,
ITS(9), No. 1, March 2008, pp. 97-110.
IEEE DOI 0803
BibRef

Yang, M., Liu, Y., You, Z.,
The Reliability of Travel Time Forecasting,
ITS(11), No. 1, March 2010, pp. 162-171.
IEEE DOI 1003
BibRef

Kwong, K., Kavaler, R., Rajagopal, R., Varaiya, P.,
Real-Time Measurement of Link Vehicle Count and Travel Time in a Road Network,
ITS(11), No. 4, December 2010, pp. 814-825.
IEEE DOI 1101
BibRef

Simroth, A., Zahle, H.,
Travel Time Prediction Using Floating Car Data Applied to Logistics Planning,
ITS(12), No. 1, March 2011, pp. 243-253.
IEEE DOI 1103
BibRef

Soriguera, F., Robuste, F.,
Requiem for Freeway Travel Time Estimation Methods Based on Blind Speed Interpolations Between Point Measurements,
ITS(12), No. 1, March 2011, pp. 291-297.
IEEE DOI 1103
BibRef

Khosravi, A., Mazloumi, E., Nahavandi, S., Creighton, D., van Lint, J.W.C.,
Prediction Intervals to Account for Uncertainties in Travel Time Prediction,
ITS(12), No. 2, June 2011, pp. 537-547.
IEEE DOI 1101
BibRef

Hu, T.Y., Tong, C.C., Liao, T.Y., Ho, W.M.,
Simulation-Assignment-Based Travel Time Prediction Model for Traffic Corridors,
ITS(13), No. 3, September 2012, pp. 1277-1286.
IEEE DOI 1209
BibRef

Mu, T., Jiang, J., Wang, Y.,
Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via Regression Analysis,
ITS(14), No. 1, March 2013, pp. 214-224.
IEEE DOI 1303
BibRef

Chen, X., Li, L., Li, Z.,
Phase Diagram Analysis Based on a Temporal-Spatial Queueing Model,
ITS(13), No. 4, December 2012, pp. 1705-1716.
IEEE DOI 1212
BibRef

Li, L.[Li], Chen, X.[Xiqun], Li, Z.H.[Zhi-Heng], Zhang, L.[Lei],
Freeway Travel-Time Estimation Based on Temporal-Spatial Queueing Model,
ITS(14), No. 3, 2013, pp. 1536-1541.
IEEE DOI 1309
Speed interpolation BibRef

Kala, R., Warwick, K.,
Computing journey start times with recurrent traffic conditions,
IET-ITS(8), No. 8, 2014, pp. 681-687.
DOI Link 1502
road traffic BibRef

Zhang, Y., Haghani, A., Zeng, X.,
Component GARCH Models to Account for Seasonal Patterns and Uncertainties in Travel-Time Prediction,
ITS(16), No. 2, April 2015, pp. 719-729.
IEEE DOI 1504
Data models BibRef

Pirc, J., Turk, G., Zura, M.,
Using the robust statistics for travel time estimation on highways,
IET-ITS(9), No. 4, 2015, pp. 442-452.
DOI Link 1506
automobiles BibRef

Pirc, J., Turk, G., Žura, M.,
Highway travel time estimation using multiple data sources,
IET-ITS(10), No. 10, 2016, pp. 649-657.
DOI Link 1701
extrapolation BibRef

Tu, W.[Wei], Li, Q.Q.[Qing-Quan], Fang, Z.X.[Zhi-Xiang], Zhou, B.D.[Bao-Ding],
A Novel Spatial-Temporal Voronoi Diagram-Based Heuristic Approach for Large-Scale Vehicle Routing Optimization with Time Constraints,
IJGI(4), No. 4, 2015, pp. 2019.
DOI Link 1511
BibRef

Diaz, J.J.V.[J.J. Vinagre], Gonzalez, A.B.R.[A.B. Rodriguez], Wilby, M.R.,
Bluetooth Traffic Monitoring Systems for Travel Time Estimation on Freeways,
ITS(17), No. 1, January 2016, pp. 123-132.
IEEE DOI 1601
Bluetooth BibRef

Kachroo, P., Sastry, S.,
Travel Time Dynamics for Intelligent Transportation Systems: Theory and Applications,
ITS(17), No. 2, February 2016, pp. 385-394.
IEEE DOI 1602
Mathematical model BibRef

Kachroo, P., Sastry, S.,
Traffic Assignment Using a Density-Based Travel-Time Function for Intelligent Transportation Systems,
ITS(17), No. 5, May 2016, pp. 1438-1447.
IEEE DOI 1605
Delays BibRef

Salamanis, A., Kehagias, D.D., Filelis-Papadopoulos, C.K., Tzovaras, D., Gravvanis, G.A.,
Managing Spatial Graph Dependencies in Large Volumes of Traffic Data for Travel-Time Prediction,
ITS(17), No. 6, June 2016, pp. 1678-1687.
IEEE DOI 1606
Accuracy BibRef

Jang, J.,
Outlier filtering algorithm for travel time estimation using dedicated short-range communications probes on rural highways,
IET-ITS(10), No. 6, 2016, pp. 453-460.
DOI Link 1608
median filters BibRef

Zhang, F.M.[Fa-Ming], Zhu, X.Y.[Xin-Yan], Hu, T.[Tao], Guo, W.[Wei], Chen, C.[Chen], Liu, L.J.[Ling-Jia],
Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal Correlations,
IJGI(5), No. 11, 2016, pp. 201.
DOI Link 1612
BibRef

Moylan, E.K.M., Rashidi, T.H.,
Latent-Segmentation, Hazard-Based Models of Travel Time,
ITS(18), No. 8, August 2017, pp. 2174-2180.
IEEE DOI 1708
Analytical models, Context, Context modeling, Data models, Hazards, Meteorology, Probabilistic logic, Travel time variability, congestion, hazard-based analysis, latent segmentation formulation, traffic, modeling BibRef

Shi, C.Y.[Chao-Yang], Chen, B.Y.[Bi Yu], Li, Q.Q.[Qing-Quan],
Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Cebecauer, M.[Matej], Jenelius, E.[Erik], Burghout, W.[Wilco],
Integrated framework for real-time urban network travel time prediction on sparse probe data,
IET-ITS(12), No. 1, February 2018, pp. 66-74.
DOI Link 1801
BibRef

Li, W.[Wan], Cheng, D.H.[Dan-Hong], Bian, R.J.[Rui-Jie], Ishak, S.[Sherif], Osman, O.A.[Osama A.],
Accounting for travel time reliability, trip purpose and departure time choice in an agent-based dynamic toll pricing approach,
IET-ITS(12), No. 1, February 2018, pp. 58-65.
DOI Link 1801
BibRef

Jenelius, E., Koutsopoulos, H.N.,
Urban Network Travel Time Prediction Based on a Probabilistic Principal Component Analysis Model of Probe Data,
ITS(19), No. 2, February 2018, pp. 436-445.
IEEE DOI 1802
Computational modeling, Data models, Load modeling, Predictive models, Principal component analysis, probe data BibRef

Zhang, D.T.[De-Tian], Chow, C.Y.[Chi-Yin], Liu, A.[An], Zhang, X.L.[Xiang-Liang], Ding, Q.Z.[Qing-Zhu], Li, Q.[Qing],
Efficient evaluation of shortest travel-time path queries through spatial mashups,
GeoInfo(22), No. 1, January 2018, pp. 3-28.
Springer DOI 1802
BibRef

Zhu, L.[Lin], Guo, F.[Fangce], Polak, J.W.[John W.], Krishnan, R.[Rajesh],
Urban link travel time estimation using traffic states-based data fusion,
IET-ITS(12), No. 7, September 2018, pp. 651-663.
DOI Link 1808
BibRef

Tang, K., Chen, S., Liu, Z.,
Citywide Spatial-Temporal Travel Time Estimation Using Big and Sparse Trajectories,
ITS(19), No. 12, December 2018, pp. 4023-4034.
IEEE DOI 1812
Roads, Trajectory, Estimation, Tensile stress, Hidden Markov models, Correlation, Global Positioning System, Data-driven, occurrence probability BibRef

Yang, S.[Shu], Ou, J.[Jishun], Feng, Y.H.[Yi-Heng], Wang, Y.[Yuan],
Freeway travel time estimation based on the general motors model: a genetic algorithm calibration framework,
IET-ITS(13), No. 7, July 2019, pp. 1154-1163.
DOI Link 1906
BibRef

Sharmila, R.B., Velaga, N.R.[Nagendra R.], Kumar, A.[Akhilesh],
SVM-based hybrid approach for corridor-level travel-time estimation,
IET-ITS(13), No. 9, September 2019, pp. 1429-1439.
DOI Link 1908
Multiple roads and routes in a transportation corridor. Cars and buses. BibRef

Karimpour, A.[Abolfazl], Ariannezhad, A.[Amin], Wu, Y.J.[Yao-Jan],
Hybrid data-driven approach for truck travel time imputation,
IET-ITS(13), No. 10, October 2019, pp. 1518-1524.
DOI Link 1909
BibRef

van Essen, J.T., Correia, G.H.A.,
Exact Formulation and Comparison Between the User Optimum and System Optimum Solution for Routing Privately Owned Automated Vehicles,
ITS(20), No. 12, December 2019, pp. 4567-4578.
IEEE DOI 2001
Automobiles, Routing, Urban areas, Automation, Mathematical model, Autonomous vehicles, integer linear programming, value of travel time BibRef

Prokhorchuk, A., Dauwels, J., Jaillet, P.,
Estimating Travel Time Distributions by Bayesian Network Inference,
ITS(21), No. 5, May 2020, pp. 1867-1876.
IEEE DOI 2005
Global Positioning System, Estimation, Bayes methods, Public transportation, Trajectory, Data models, Bayesian network inference BibRef

Zhu, Y., He, Z., Sun, W.,
Network-Wide Link Travel Time Inference Using Trip-Based Data From Automatic Vehicle Identification Detectors,
ITS(21), No. 6, June 2020, pp. 2485-2495.
IEEE DOI 2006
Detectors, Estimation, Resource management, Probabilistic logic, Real-time systems, Task analysis, Stochastic processes, travel time allocation BibRef

Gundlegård, D.[David], Karlsson, J.M.[Johan M.],
Integrated tracking and route classification for travel time estimation based on cellular network signalling data,
IET-ITS(14), No. 9, September 2020, pp. 1087-1096.
DOI Link 2008
BibRef

Contreras, S., Kachroo, P.,
The Viscosity Solution for Hamilton Jacobi Travel Time Dynamics,
ITS(21), No. 11, November 2020, pp. 4715-4724.
IEEE DOI 2011
Mathematical model, Viscosity, Vehicle dynamics, Jacobian matrices, Intelligent transportation systems, Entropy, viscosity BibRef

Chiou, J.M., Liou, H.T., Chen, W.H.,
Modeling Time-Varying Variability and Reliability of Freeway Travel Time Using Functional Principal Component Analysis,
ITS(22), No. 1, January 2021, pp. 257-266.
IEEE DOI 2012
Reliability, Density functional theory, Logic gates, Traffic control, Analytical models, Kernel, Estimation, travel time reliability BibRef

Wang, Q., Xu, C., Zhang, W., Li, J.,
GraphTTE: Travel Time Estimation Based on Attention-Spatiotemporal Graphs,
SPLetters(28), 2021, pp. 239-243.
IEEE DOI 2102
Roads, Trajectory, Estimation, Network topology, Indexes, Spatiotemporal phenomena, Convolution, Attention mechanism, travel time estimation BibRef

Li, Z.H.[Zi-Hao], Chen, H.[Hui], Yan, W.T.[Wen-Tao],
Exploring Spatial Distribution of Urban Park Service Areas in Shanghai Based on Travel Time Estimation: A Method Combining Multi-Source Data,
IJGI(10), No. 9, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Abioye, O.F.[Olumide F.], Dulebenets, M.A.[Maxim A.], Kavoosi, M.[Masoud], Pasha, J.[Junayed], Theophilus, O.[Oluwatosin],
Vessel Schedule Recovery in Liner Shipping: Modeling Alternative Recovery Options,
ITS(22), No. 10, October 2021, pp. 6420-6434.
IEEE DOI 2110
Schedules, Companies, Uncertainty, Containers, Delays, Mathematical model, Reliability, Liner shipping, vessel scheduling, profit loss BibRef


Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Transit Routing, Evaluation .


Last update:Oct 24, 2021 at 16:35:58