Capturing correlation with subnetworks in route choice models

Transportation Research Part B: Methodological

Volumn 41, Issue 3, 2007, Pages 363-378

  Frejinger, E ^a   Bierlaire, M ^a  

^a EPFL   (Switzerland)

Author keywords

Mixture of logit models; Path size; Random utility models; Route choice; Subnetwork

Indexed keywords

CORRELATION METHODS; CRITICAL PATH ANALYSIS; CURVE FITTING; ESTIMATION; MATHEMATICAL MODELS;

MIXTURE OF LOGIT MODELS; RANDOM UTILITY MODELS; ROUTE CHOICE; SUBNETWORK;

TRANSPORTATION ROUTES;

ERROR ANALYSIS; LOGIT ANALYSIS; ROAD TRANSPORT; ROUTING; TRAVEL BEHAVIOR;

EID: 33845262457     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2006.06.003     Document Type: Article

References (28)

1. Axhausen K.W., Schönfelder S., Wolf J., Oliveira M., and Samaga U. 80 weeks of GPS traces: Approaches to enriching the trip information. Transportation Research Record 1870 (2003) 46-54
2. Azevedo J., Costa M.S., Madeira J.S., and Martins E.V. An algorithm for the ranking of shortest paths. European Journal of Operational Research 69 (1993) 97-106
3. Bekhor S., Ben-Akiva M., and Ramming M. Adaptation of logit kernel to route choice situation. Transportation Research Record 1805 (2002) 78-85
4. Ben-Akiva, M., Bierlaire, M. 1999a. Discrete choice methods and their applications to short term travel decisions. Chapter for the Transportation Science Handbook, Preliminary Draft.
5. Ben-Akiva M., and Bierlaire M. Discrete choice methods and their applications to short-term travel decisions. In: Hall R. (Ed). Handbook of Transportation Science (1999), Kluwer 5-34
6. Ben-Akiva M., and Bierlaire M. Discrete choice models with applications to departure time and route choice. Handbook of Transportation Science. second ed. (2003), Kluwer (Chapter 2)
7. Ben-Akiva M., and Lerman S. Discrete Choice Analysis: Theory and Application to Travel Demand (1985), MIT Press, Cambridge, Massachusetts
8. Bierlaire, M. 2003. Biogeme: a free package for the estimation of discrete choice models. In: Third Swiss Transport Research Conference, Ascona.
9. Bierlaire, M. 2005. An introduction to biogeme version 1.4. Available from: .
10. Bierlaire, M. 2006. A theoretical analysis of the cross-nested logit model, Annals of operations research. Published online at .
11. Bolduc, D., Ben-Akiva, M. 1991. A multinomial probit formulation for large choice sets. In: Proceedings of the Sixth International Conference on Travel Behaviour, vol. 2, pp. 243-258.
12. Cascetta, E., Nuzzolo, A., Russo, F., Vitetta, A. 1996. A modified logit route choice model overcoming path overlapping problems. Specification and some calibration results for interurban networks. In Lesort, J.B. (Ed.), Proceedings of the 13th International Symposium on Transportation and Traffic Theory, Lyon, France.
13. Cascetta E., Russo E., Viola F., and Vitetta A. A model of route perception in urban road network. Transportation Research Part B 36 (2002) 577-592
14. Chu, C. (1989). A paired combinatorial logit model for travel demand analysis. In: Proceedings of the Fifth World Conference on Transportation Research, vol. 4, Ventura, CA, pp. 295-309.
15. Daganzo C. Multinomial probit and qualitative choice: A computationally efficient algorithm. Transportation Science 11 (1977) 338-358
16. Han, B., 2001. Analyzing car ownership and route choices using discrete choice models, PhD thesis, Department of infrastructure and planning, Royal Institute of Technology, Stockholm, TRITA-IP FR 01-95.
17. Han, B., Algers, S., Engelson, L. 2001. Accommodating drivers' taste variation and repeated choice correlation in route choice modeling by using the mixed logit model. 80th Annual Meeting of the Transportation Research Board.
18. Hoogendoorn-Lanser, S., 2005. Modelling travel behaviour in multi-modal networks, PhD thesis, Deft University of Technology.
19. Hoogendoorn-Lanser, S., van Nes, R., Bovy, P., 2005. Path Size and overlap in multi-modal transport networks, a new interpretation. In Mahmassani, H.S. (Ed.), Flow, Dynamics and Human Interaction, Proceedings of the 16th International Symposium on Transportation and Traffic Theory.
20. Marzano, V., Papola, A. 2004. A path-multilevel logit model for route choice which allows implicit path enumeration. In: European Transport Conference, Strasbourg, France.
21. Nielsen O., Daly A., and Frederiksen R. A stochastic route choice model for car travellers in the Copenhagen region. Networks and Spatial Economics 2 (2002) 327-346
22. Paag H., Daly A., and Rohr C. Predicting use of the Copenhagen harbour tunnel. In: Hensher D. (Ed). Travel Behaviour Research: The Leading Edge (2002), Pergamon Press 627-646
23. Prashker J., and Bekhor S. Investigation of stochastic network loading procedures. Transportation Research Record 1645 (1998) 94-102
24. Ramming, M., 2001. Network Knowledge and Route Choice, PhD thesis, Massachusetts Institute of Technology.
25. Schönfelder, S., Samaga, U. 2003. Where do you want to go today? - More observations on daily mobility. In: Third Swiss Transport Research Conference, Ascona.
26. Schönfelder, S., Axhausen, K., Antille, N., Bierlaire, M., 2002. Exploring the potentials of automatically collected GPS data for travel behaviour analysis - a swedish data source. In: Möltgen, J. Wytzisk, A. (Eds.), GI-Technologien für Verkehr und Logistik, number 13, Institut für Geoinformatik, Universität Münster, Münster, IfGIprints, pp. 155-179.
27. Vovsha P., and Bekhor S. Link-nested logit model of route choice, Overcoming route overlapping problem. Transportation Research Record 1645 (1998) 133-142
28. Yai T., Iwakura S., and Morichi S. Multinomial probit with structured covariance for route choice behavior. Transportation Research Part B 31 3 (1997) 195-207