Effect of real-time transit information on dynamic path choice of passengers

Transportation Research Record

Volumn , Issue 2217, 2011, Pages 46-54

  Cats, Oded ^a   Koutsopoulos, Haris N ^b   Burghout, Wilco ^b   Toledo, Tomer ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

SUBWAYS; TRAFFIC CONTROL;

ANALYSIS AND EVALUATION; DYNAMIC PATHS; DYNAMICS MODELS; INFORMATION PROVISION; ON DYNAMICS; PATH CHOICE; REAL- TIME; REAL-TIME INFORMATION; TRANSIT NETWORKS; TRANSIT OPERATIONS;

INTELLIGENT SYSTEMS;

EID: 84255183736     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2217-06     Document Type: Article

References (30)

1. Lam, W. H. K., and M. G. H. Bell. Advanced Modeling for Transit Operations and Service Planning. Pergamon, Oxford, United Kingdom, 2003.
2. Dial, R. B. Transit Pathfinder Algorithm. In Highway Research Record 205, HRB, National Research Council, Washington, D.C., 1967, pp. 67-85.
3. Le Clercq, F. A Public Transport Assignment Method. Traffic Engineering and Control, Vol. 13, 1972, pp. 91-96.
4. Chirqui, C., and P. Robillard. Common Bus Lines. Transportation Science, Vol. 9, No. 2, 1975, pp. 115-121.
5. Marguier, P. H. J., and A. Ceder. Passenger Waiting Strategies for Overlapping Bus Route. Transportation Science, Vol. 18, No. 3, 1984, pp. 207-230. (Pubitemid 14620825)
6. Spiess, H., and M. Florian. Optimal Strategies: A New Assignment Model for Transit Networks. Transportation Research Part B, Vol. 23, No. 2, 1989, pp. 83-102. (Pubitemid 20645355)
7. Nguyen, S., and S. Pallottino. Equilibrium Traffic Assignment for Large-Scale Transit Networks. European Journal of Operational Research, Vol. 37, 1988, pp. 176-186.
8. Tong, C. O., and S. C. Wong. A Stochastic Transit Assignment Model Using a Dynamic Schedule-Based Network. Transportation Research Part B, Vol. 33, No. 2, 1999, pp. 107-121.
9. Nguyen, S., S. Pallottino, and F. Malucelli. A Modeling Framework for Passenger Assignment on a Transport Network with Timetables. Transportation Science, Vol. 35, No. 3, 2001, pp. 238-249. (Pubitemid 33014131)
10. Hall, R. W. The Fastest Path Through a Network with Random Time-Dependent Travel Times. Transportation Science, Vol. 20, No. 3, 1986, pp. 182-188.
11. Nuzzolo, A., F. Russo, and U. Crisalli. A Doubly Dynamic Schedule-Based Assignment Model for Transit Networks. Transportation Science, Vol. 35, No. 3, 2001, pp. 268-285. (Pubitemid 33014133)
12. Wahba, M., and A. Shalaby. Large-Scale Application for MILATRAS: Case Study of the Toronto Transit Network. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
13. Rieser, M., and K. Nagel. Combined Agent-Based Simulation of Private Car Traffic and Transit. Proc., 12th International Conference on Travel Behaviour Research, Jaipur, India, 2009.
14. Casey, R. F., L. N. Labell, L. Moniz, J. W. Royal, M. Sheenan, T. Sheenan, A. Brown, M. Foy, M. Zinker, C. L. Schweiger, B. Marks, B. Kaplan, and D. Parker. Advanced Public Transportation Systems-The State of the Art: Update 2000. FTA, U.S. Department of Transportation, 2000.
15. Hickman, M. D., and N. H. M. Wilson. Passenger Travel Time and Path Choice Implications of Real-Time Transit Information. Transportation Research Part C, Vol. 3, No. 4, 1995, pp. 211-226. (Pubitemid 26433164)
16. Gentile, G., S. Nguyen, and S. Pallottino. Route Choice on Transit Networks with Online Information at Stops. Transportation Science, Vol. 39, No. 3, 2005, pp. 289-297. (Pubitemid 41344657)
17. Nökel, K., and S. Wekeck. Boarding and Alighting in Frequency-Based Transit Assignment. In Transportation Research Record: Journal of the Transportation Research Board, No. 2111, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 60-67.
18. Toledo, T., O. Cats, W. Burghout, and H. N. Koutsopoulos. Mesoscopic Simulation for Transit Operations. Transportation Research Part C, Vol. 18, No. 6, 2010, pp. 896-908.
19. Burghout, W., H. N. Koutsopoulos., and I. Andreasson. A Discrete-Event Mesoscopic Traffic Simulation Model for Hybrid Traffic Simulation. Proc., IEEE Intelligent Transportation Systems Conference, 2006, Toronto, Ontario, Canada, IEEE, Piscataway, N.J., 2006.
20. Kittelson and Associates, Inc. TCRP Report 100: Transit Capacity and Quality of Service Manual, 2nd ed. Transportation Research Board of the National Academies, Washington, D.C., 2003.
21. Cats, O., W. Burghout, T. Toledo, and H. N. Koutsopoulos. Mesoscopic Modeling of Bus Public Transportation. In Transportation Research Record: Journal of the Transportation Research Board, No. 2188, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 9-18.
22. Androutsopoulos, K. N., and K. G. Zografos. Solving the Multi-Criteria Time-Dependent Routing and Scheduling Problem in a Multimodal Fixed Scheduled Network. European Journal of Operational Research, Vol. 192, 2009, pp. 18-28.
23. Sweet, R. J. An Aggregate Measure of Travel Utility. Transportation Research B, Vol. 31, No. 5, 1997, pp. 403-416. (Pubitemid 127428520)
24. Jansson, K., and B. Ridderstolpe. A Method for the Route-Choice Problem in Public Transport Systems. Transportation Science, Vol. 26, No. 3, 1992, pp. 246-251.
25. Koutsopoulos, H. N., and Z. Wang. Simulation of Urban Rail Operations: Application Framework. In Transportation Research Record: Journal of the Transportation Research Board, No. 2006, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 84-91. (Pubitemid 351190613)
26. Cats, O. Mesoscopic Transit Simulation Model with Passenger Path Choice. Working Paper. Centre for Traffic Research, KTH, 2010. http://www.infra.kth.se/ ctr/publications/2010/ctr2010-wp01.pdf.
27. Ben-Akiva, M., and S. R. Lerman. Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, Mass., 1985.
28. Schuessler, N., and K. W. Axhausen. Recent Developments Regarding Similarities in Transport Modelling. IVT-Institute for Transport Planning and Systems, ETH, Zurich, 2007. http://e-collection.ethbib.ethz.ch/eserv/eth:30231/ eth-30231-01.pdf.
29. Guo, Z., and N. Wilson. Assessing the Cost of Transfer Inconvenience in Public Transport Systems: A Case Study of the London Underground. Transportation Research Part A, Vol. 45, No. 2, 2011, pp. 91-104.
30. Hoogendoorn-Lanser, S., R. van Ness, and P. H. L. Bovy. Path Size Modeling in Multimodal Route Choice Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No. 1921, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 27-34.