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Part of the book series: NATO ASI Series ((NATO ASI F,volume 166))

Summary

The present paper provides a brief introduction to PACSIM, a new model for multimodal traffic assignment. This model is distinguished by the introduction of several important features: full dynamism based on an event-driven paradigm, complete modelling of the network of information provided to network users, multilevel network representation, multimodal capabilities and the use of an explicit parametrisable behavioural theory. The paper discusses the main motivations and design concepts and presents an illustrative application of PACSIM to advanced incident warning. Some perspectives are finally outlined.

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References

  1. R. Arnott, A. de Palma, and R. Lindsey. Does providing information to drivers reduce traffic congestion? Transportation Research A, 25 (5): 309–318, 1991.

    Google Scholar 

  2. M. Ben-Akiva and S. R. Lerman. Disaggregate travel demand and mobility choice models and measures of accessibility. In D. Hensher and P. Stopher, editors, Behavioral Travel Modeling. Croom Helm, London, 1979.

    Google Scholar 

  3. M. E. Ben-Akiva, A. de Palma, and I. Kaysi. Dynamic network models and driver information systems. Transportation Research A, 25 (5): 251–266, 1992.

    Article  Google Scholar 

  4. M. E. Ben-Akiva. Dynamic network equilibrium research. Transportation Research A, 19: 429–431, 1985.

    Google Scholar 

  5. M. Bierlaire. HieLoW: un logiciel d’estimation de modèles logit emboîtés. Les cahiers du MET, 2:29–43, novembre 1994.

    Google Scholar 

  6. P. H. L. Bovy and E. Stern. Route choice: wayfinding in transport networks, volume 9 of Studies in Operational Regional Science. Kluwer Academic Publishers, Dordrecht, The Netherlands, 1990.

    Google Scholar 

  7. E. Cornélis. Validation de PACSIM. GRT Report 94/11, Department of Mathematics, FUNDP, Namur, Belgium, 1994.

    Google Scholar 

  8. C. F. Daganzo and Y. Sheffi. On stochastic models of traffic assignment. Transportation Science, 11 (3): 253–274, 1977.

    Google Scholar 

  9. A. Daly. Estimating “tree” logit models. Transportation Research B,21(4):251268, 1987.

    Google Scholar 

  10. A. de Palma, P. Hansen, and M. Labbé. Commuters’ paths with penalties for early or late arrival. Transportation Science, 24 (4): 276–286, 1990.

    Article  MathSciNet  MATH  Google Scholar 

  11. Ph. Dehoux and Ph. Toint. Some comments on dynamic modelling, in the presence of advanced driver information systems. In G. Argyrakos, M. Carrara, O. Cartsen, P. Davies, W. Mohlenbrink, M. Papageorgiou, T. Rothengatter, and Ph. Toint, editors, Advanced Telematics in Road Transport, pages 964981, Amsterdam, 1991. Commission of the European Communities - DG XIII, Elsevier.

    Google Scholar 

  12. Ph. Dehoux, P. Manneback, and Ph. L. Toint. PACSIM: a dynamical traffic assignment model. ii: functional analysis. GRT Report 90/na, Department of Mathematics, FUNDP, Namur, Belgium, 1990.

    Google Scholar 

  13. R. M. Downs and D. Stea. Maps in minds. Harper and Row, New York, 1977.

    Google Scholar 

  14. R. G. Golledge and R. J. Stimson. Analytical behavioural geography. Croom Helm, New York, 1987.

    Google Scholar 

  15. D. McArthur. A rule language for describing driver behavior in a IRTE. In G. Argyrakos, M. Carrara, O. Cartsen, P. Davies, W. Mohlenbrink, M. Papageorgiou, T. Rothengatter, and Ph. L. Toint, editors, Advanced Telematics in Road Transport, pages 1488–1498, Amsterdam, 1991. Commission of the European Communities–DG XIII, Elsevier.

    Google Scholar 

  16. Y. Sheffi. Urban Transportation Networks. Prentice-Hall, Englewood Cliffs, USA, 1985.

    Google Scholar 

  17. D. P. Watling and T. van Vuren. The modelling of dynamic route guidance. Transportation Research, Part C, 1C (2): 159–182, June 1993.

    Google Scholar 

  18. P. L. Yu. Multiple criteria decision making. Five basis concepts. In G. L. Nemhauser, A. H. G. Rinnoy Kan, and M. J. Todd, editors, Optimization, volume 1 of Handbooks in Operations Research and Management Science, pages 663–700, Amsterdam, 1989. North-Holland.

    Google Scholar 

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© 1998 Springer-Verlag Berlin Heidelberg

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Cornelis, E., Toint, P.L. (1998). PACSIM: A New Dynamic Behavioural Model for Multimodal Traffic Assignment. In: Labbé, M., Laporte, G., Tanczos, K., Toint, P. (eds) Operations Research and Decision Aid Methodologies in Traffic and Transportation Management. NATO ASI Series, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03514-6_2

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  • DOI: https://doi.org/10.1007/978-3-662-03514-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08428-7

  • Online ISBN: 978-3-662-03514-6

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