Adding mode choice to multiagent transport simulation

Transportation Research Record

Volumn , Issue 2132, 2009, Pages 50-58

  Rieser, Marcel ^b   Grether, Dominik ^a   Nagel, Kai ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BASED; DYNAMIC TRAFFIC; MODE CHOICE; MULTI AGENT; NASH EQUILIBRIA; STEADY-STATE DISTRIBUTIONS; TIME ADJUSTMENT; TRAFFIC ASSIGNMENT; TRAFFIC MICRO SIMULATIONS; TRANSPORT SIMULATION;

EID: 76149129076     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2132-06     Document Type: Article

References (25)

1. Verhoef, E. T. Marginal Cost Based Pricing in Transport. Key Implementation Issues from the Economic Perspective. Presented at Seminar One of IMPRINT-EUROPE, 2001. www.imprint-eu.org/public/EV-V2.PDF.
2. Bonsall, P., J. Shires, D. Ngoduy, H. Link, A. Becker, P. Papaioannou, and P. Xanthopoulos. Optimal Complexity of Prices for Transport Infrastructure. Deliverable 6 of GRACE (generalisation of research on accounts and cost estimation). Funded by 6th framework programme, ITS, University of Leeds, Leeds, United Kingdom, 2007.
3. Ortúzar, J. De D., and L. G. Willumsen. Modelling Transport. Wiley, Chichester, United Kingdom, 1995.
4. Richards, M. G., and M. Ben-Akiva. A Simultaneous Destination and Mode Choice Model for Shopping Trips. Transportation, 1974, pp. 343-356.
5. Jonnalagadda, N., J. Freedman, W. A. Davidson, and J. D. Hunt. Development of Microsimulation Activity-Based Model for San Francisco: Destination and Mode Choice Models. In Transportation Research Record: Journal of the Transportation Research Board, No.1777, TRB, National Research Council, Washington, D.C., 2001, pp. 25-35.
6. Boyce, D., and H. Bar-Gera. Validation of Multiclass Urban Travel Forecasting Models Combining Origin-Destination, Mode, and Route Choices. Journal of Regional Science, Vol.43, 2003, pp. 517-540
7. Lohse, D., G. Bachner, B. Dugge, and H. Teicher. Ermittlung von Verkehrsströmen mit n-linearen Gleichungssystemen unter Beachtung von Nebenbedingungen einschließlich Parameterschätzung. Technical Report 5/1997. Institut für Verkehrsplanung und Straßenverkehr, Dresden, Germany, 1997.
8. Nielsen, O. A., and R. D. Frederiksen. Optimisation of Timetable- Based, Stochastic Transit Assignment Models Based on MSA. Annals of Operations Research, Vol.144, 2006, pp. 263-285.
9. Nökel, K. VISUM 10-Status and Perspectives. Technical report. PTV AG, Karlsruhe, Germany. 2007. www.ptv.de.
10. Zhang, L., and D. Levinson. Agent-Based Approach to Travel Demand Modeling: Exploratory Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No.1898, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 28-36.
11. Raney, B., and K. Nagel. An Improved Framework for Large-Scale Multi-Agent Simulations of Travel Behaviour. In Towards Better Performing European Transportation Systems (P. Rietveld, B. Jourquin, and K. Westin, eds.), Routledge, London, 2006.
12. Balmer, M., B. Raney, and K. Nagel. Adjustment of Activity Timing and Duration in an Agent-Based Traffic Flow Simulation. In Progress in Activity-Based Analysis (H. J. P. Timmermans, ed.), Elsevier, Oxford, United Kingdom, 2005, pp. 91-114.
13. Lefebvre, N., and M. Balmer. Fast Shortest Path Computation in Time-Dependent Traffic Networks. Proc., Swiss Transport Research Conference, Monte Verita, Switzerland. www.strc.ch.
14. Gawron, C. Simulation-Based Traffic Assignment. PhD thesis. University of Cologne, Cologne, Germany, 1998.
15. Cetin, N., A. Burri, and K. Nagel. A Large-Scale Agent-Based Traffic Microsimulation Based on Queue Model. Proc., Swiss Transport Research Conference (STRC), Monte Verita, Switzerland. www.strc.ch.
16. Kaufman, D. E., K. E. Wunderlich, and R. L. Smith. An Iterative Routing/ Assignment Method for Anticipatory Real-Time Route Guidance. IVHS Technical Report 91-102 Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, May 1991.
17. Bottom, J. A. Consistent Anticipatory Route Guidance. PhD thesis. Massachusetts Institute of Technology, Cambridge, 2000.
18. Arnott, R., A. De Palma, and R. Lindsey. Economics of a Bottleneck. Journal of Urban Economics, Vol.27, No.1, 1990, pp. 111-130.
19. Reinhold, T. Konzept zur integrierten Optimierung des Berliner Nahverkehrs. In Öffentlicher Personennahverkehr. Springer Verlag, Berlin, Germany, 2006.
20. Jara-Díaz, S. R., and R. Guerra. Modeling Activity Duration and Travel Choice from a Common Microeconomic Framework. Proc., Meeting of the International Association for Travel Behavior Research (IATBR), Lucerne, Switzerland, 2003. www.ivt.baug.ethz.ch.
21. Vickrey, W. S. Congestion Theory and Transport Investment. American Economic Review, Vol.59, No.2, 1969, pp. 251-260.
22. Chen, Y., M. Rieser, D. Grether, and K. Nagel. Improving a Large-Scale Agent-Based Simulation Scenario. VSP Working Paper 08-15. Transport Systems Planning and Transport Telematics, Berlin Institute of Technology, 2008. www.vsp.tu-berlin.de/publications.
23. Vrtic, M., N. Schüssler, A. Erath, K. Meister, and K. Axhausen. Tageszeitliche Fahrtenmatrizen im Personenverkehr an Werktagen im Jahr 2000. Research report. Swiss Federal Department for Environment, Transport, Energy and Communication, Swiss Federal Office for Spatial Development, Swiss Federal Roads Authority and Swiss Federal Office for Transport, IVT, ETH Zurich, 2007.
24. Eidgenössische Volkszählung. Swiss Federal Statistical Office, Neuchatel, 2000.
25. Ergebnisse des Mikrozensus 2005 zum Verkehr. Swiss Federal Statistical Office, Neuchatel, 2006.