Effects of a simple mode choice model in a large-scale agent-based transport simulation

Advances in Spatial Science

Volumn 60, Issue , 2009, Pages 167-186

  Grether, Dominik ^a   Chen, Yu ^a   Rieser, Marcel ^a   Nagel, Kai ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85020193420     PISSN: 14309602     EISSN: 21979375     Source Type: Book Series    
DOI: 10.1007/978-3-642-01554-0_13     Document Type: Article

References (46)

1. Arentze TA, Timmermans HJP (2000) ALBATROSS: a learning-based transportation oriented simulation system. EIRASS (European Institute of Retailing and Services Studies), TU Eindhoven, NL
2. Arnott R, de Palma A, Lindsey R (1990) Economics of a bottleneck. J Urban Econ 27(1):111-130
3. Arthur B (1994) Inductive reasoning, bounded rationality, and the bar problem. Am Econ Rev (Papers and Proceedings) 84:406-411
4. Avineri E, Prashker JN (2003) Sensitivity to uncertainty: need for paradigm shift. Transport Res Rec 1854:90-98
5. Balmer M, Raney B, Nagel K (2005) Adjustment of activity timing and duration in an agent-based traffic flow simulation. In: Timmermans HJP (ed) Progress in activity-based analysis. Elsevier, Oxford, UK, pp 91-114
6. Balmer M, Axhausen KW, Nagel K (2006) A demand generation framework for large scale micro simulations. Transport Res Rec 1985:125-134, doi: 10.3141/1985-14
7. Ben-Akiva M, Lerman SR (1985) Discrete choice analysis. MIT Press, Cambridge, MA
8. Beuck U, Nagel K, Justen A (2007) Application of the VISEVA demand generation software to Berlin using publicly available behavioral data. Paper 07-2807. Transport Res Board Annual Meeting, Washington, DC
9. Bhat CR, Guo JY, Srinivasan S, et al. (2004) A comprehensive econometric microsimulator for daily activity-travel patterns (cemdap). Transport Res Rec 1894:57-66
10. Bliemer M (2003) Analytical dynamic traffic assignment with interacting user-classes: theoretical advances and applications Using a variational inequality approach. PhD thesis, Technical University Delft, NL
11. Bottom JA (2000) Consistent anticipatory route guidance. PhD thesis. Massachusetts Institute of Technology, Cambridge, MA
12. Bowman JL, Bradley M, Shiftan Y et al. (1999) Demonstration of an activity-based model for Portland. In: World transport research: selected proceedings of the 8th world conference on transport research 1998, vol 3. Elsevier, Oxford, pp 171-184
13. Cetin N, Burri A, Nagel K (2003) A large-scale agent-based traffic microsimulation based on queue model. In: Proceedings of Swiss transport research conference (STRC), Monte Verita, CH. See http://www.strc.ch. Earlier version, with inferior performance values: Transportation Research Board Annual Meeting 2003 paper number 03-4272
14. Charypar D, Nagel (2005) Generating complete all-day activity plans with genetic algorithms. Transportation 32(4):369-397
15. Daganzo CF (1998) Queue spillovers in transportation networks with a route choice. Transport Sci 32(1):3-11
16. de Palma A, Marchal F (2002) Real case applications of the fully dynamic METROPOLIS toolbox: An advocacy for large-scale mesoscopic transportation systems. Netw Spatial Econ 2 (4):347-369
17. Drossel B (2001) Biological evolution and statistical physics. Preprint arXiv:condmat/0101409v1, arXiv.org
18. Ettema D, Tamminga G, Timmermans H et al. (2003) A micro-simulation model system of departure time and route choice under travel time uncertainty. In: Proceedings of the meeting of the international association for travel behavior research (IATBR), Lucerne, Switzerland. See http://www.ivt.baug.ethz.ch
19. Gawron C (1998) Simulation-based traffic assignment. PhD thesis, University of Cologne, Cologne, Germany. URL http://www.zaik.uni-koeln.de/AFS/publications/theses.html
20. Gerlough DL, Huber MJ (1975) Traffic flow theory. Special report No. 165. Transportation Research Board, National Research Council, Washington, DC
21. Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley, Reading, MA
22. Hofbauer J, Sigmund K (1998) Evolutionary games and replicator dynamics. Cambridge University Press, Cambridge
23. Holland JD (1992) Adaptation in natural and artificial systems. Bradford Books. Reprint edition
24. Hraber P, Jones T, Forrest S (1994) The ecology of echo. Artif Life 3(3):165-190
25. Jacob RR, Marathe MV, Nagel K (1999) A computational study of routing algorithms for realistic transportation networks. ACM J Exp Algorithm 4 (1999es, Article No. 6). URL http://jea.acm.org/ARTICLES/Vol4Nbr6/
26. Jara-D’az S, Munizaga MA, Greeven P et al. (2004) The activities time assignment model system: The value of work and leisure for Germans and Chileans. Presented at the European Transport Conference (ETC), Strasbourg
27. Jara-Díaz SR, Guerra R (2003) Modeling activity duration and travel choice from a common microeconomic framework. In: Proceedings of the meeting of the International Association for Travel Behavior Research (IATBR), Lucerne, Switzerland. See http://www.ivt.baug.ethz.ch
28. Kaufman DE, Wunderlich KE, Smith RL (1991) An iterative routing/assignment method for anticipatory real-time route guidance. Technical Report IVHS Technical Report 91-02, University of Michigan Department of Industrial and Operations Engineering, Ann Arbor, MI 48109, May 1991
29. Lefebvre N, Balmer M (2007) Fast shortest path computation in time-dependent traffic networks. In: Proceedings of Swiss Transport Research Conference (STRC), Monte Verita, CH, September 2007. See http://www.strc.ch
30. Lin D-Y, Eluru N, Waller ST et al. (2008) Integration of activity-based modelling and dynamic traffic assignment. Transport Res Rec 2076:52-61
31. Lohse D (1997) Verkehrsplanung, volume 2 of Grundlagen der Straßenverkehrstechnik und der Verkehrsplanung. Verlag fur Bauwesen, Berlin
32. Lohse D, Schiller C, Teichert H et al. (2006) Ein zweiseitig gekoppeltes Modell zur simultanen Berechnung der Verkehrserzeugung, Verkehrsverteilung und Verkehrsaufteilung: theoretischer Hintergrund und praktische Anwendung fur ein nationales Modell der Schweiz. Verkehrsforschung Online 3(1):1
33. Mahut M, Florian M, Tremblay N (2003) Space-time queues and dynamic traffic assignment: a model, algorithm and applications. Paper, Transportation Research Board Annual Meeting, Washington, DC
34. MATSIM www page. MultiAgent Transport SIMulation. http://matsim.org/, accessed 2008. URL http://www.matsim.org
35. Meister K, Rieser M, Ciari F, et al. (2008) Anwendung eines agentenbasierten Modells der Verkehrsnachfrage auf die Schweiz. In: Proceedings of Heureka 08, Stuttgart, Germany, March 2008
36. Nagel K, Strauss M, Shubik M (2004) The importance of timescales: Simple models for economic markets. Physica A 340(4):668-677
37. Ortúzar J de D, Willumsen LG (1995) Modelling transport. Wiley, Chichester
38. Palmer RG, Brian Arthur W, Holland JH et al. (1994) Artificial economic life: a simple model of a stock market. Physica D 75:264-274
39. Peeta S, Ziliaskopoulos AK (2001) Foundations of dynamic traffic assignment: the past, the present and the future. Netw Spatial Econ 1(3):233-265. doi:10.1023/A:1012827724856
40. Pendyala RM, Kitamura R (2004) FAMOS: The Florida activity mobility simulator. In: Timmermans (2005). PTV www page. Planung Transport Verkehr. See http://www.ptv.de, accessed 2004
41. Raney B, Nagel K (2004) Iterative route planning for large-scale modular transportation simulations. Future Gener Comput Syst 20(7):1101-1118
42. Raney B, Nagel K (2006a) An improved framework for large-scale multi-agent simulations of travel behavior. In: Rietveld P, Jourquin B, Westin K (eds) Towards better performing European Transportation Systems. Routledge, London. Similar version TRB preprint number 05-1846
43. Raney B, Nagel K (2006b) An improved framework for large-scale multi-agent simulations of travel behavior. In: Rietveld P, Jourquin B, Westin K (eds) Towards better performing European Transportation Systems. Routledge, London, pp 305-347
44. Reinhold T (2006) Konzept zur integrierten Optimierung des Berliner Nahverkehrs. In: Offentlicher Personennahverkehr. Springer, Berlin, 2006. doi: 10.1007/3-540-34209-5_8
45. Sheffi Y (1985) Urban transportation networks: Equilibrium analysis with mathematical programming methods. Prentice-Hall, Englewood Cliffs, NJ
46. Timmermans HJP (ed) (2005) Progress in activity-based analysis. Elsevier, Oxford, UK URBANSIM www page, accessed 2007. URL http://www.urbansim.org