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A Decision Support Methodology for Strategic Traffic Management

  • Torbjörn Larsson
  • Jan T. Lundgren
  • Clas Rydergren
  • Michael Patriksson
Part of the Applied Optimization book series (APOP, volume 63)

Abstract

We propose a methodology for decision support in strategic traffic management. The methodology is based on an integrated model of traffic assignment and management decisions and its core is a traffic equilibrium model which assumes that the travellers choose their routes in accordance with Wardrop’s principle. The management goals, regarding traffic flows and travel times in the network, are presumed to be described by constraints. It is also possible to specify a set of admissible actions in the network for achieving the goals; examples of such actions are changes in link capacities and the introduction of monetary tolls. The proposed approach constitutes a systematic methodology for finding appropriate changes in the traffic network in order to fulfill the management goals. We present a two-stage procedure for finding approximate solutions to the model.

Keywords

Travel Time Travel Demand Management Goal Traffic Management Traffic Assignment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Chen, M., Bernstein, D.H., Chien, S.I.J., and Mouskos, K.C. (1998). “A simplified formulation of the toll design problem,” Paper submitted for presentation and publication to the Transportation Research Board, National Research Council, July.Google Scholar
  2. Cree, N.D., Maher, M.J., and Paechter, B. (1998). “The continuous equilibrium optimal network design problem: a genetic approach,” In: Transportation Networks: Recent Methodological Advances, Ed: Bell, M.G.H., 163–174, Amsterdam: Perga-mon.Google Scholar
  3. Dirkse, S.P., and Ferris, M.P. (1998). “Traffic modeling and variational inequalities using GAMS.” Ed: Ph. L. Toint, M. Labbé, K. Tanczos, and G. Laporte, Operations Research and Decision Aid Methodologies in Traffic and Transportation Management, NATO ASI Series F, 136–163. Berlin: Springer-Verlag.CrossRefGoogle Scholar
  4. Hearn D.W., and Ramana M.V. (1998). “Solving congestion toll pricing models,” In: Equilibrium and Advanced Transportation Modelling, Ed: Marcotte P. and Nguyen S., New York: Kluwer Academic Publishers, 109–124.CrossRefGoogle Scholar
  5. Huang, H.J., and Bell, M.G.H. (1998). “Continuous equilibrium network design problem with elastic demand: derivative-free solution methods,” In: Transportation Networks: Recent Methodological Advances, Ed: Bell, M.G.H., 175–193, Amsterdam: Pergamon.Google Scholar
  6. Labbé, M., Marcotte, P., and Savard, G. (1998). “A Bilevel Model of Taxation and Its Application to Optimal Highway Pricing,“ Management Science,44, 1608–1622.Google Scholar
  7. Larsson, T., Liu, Z., and Patriksson, M. (1997). “A dual scheme for traffic assignment problems,” Optimization, 42, 323–358.CrossRefGoogle Scholar
  8. Larsson, T., and Patriksson, M. (1998). “Side constrained traffic equilibrium modelstraffic management through link tolls,” In: Equilibrium and Advanced Transportation Modelling, Ed: Marcotte, P., and Nguyen, S., New York: Kluwer Academic Publishers, 125–151.CrossRefGoogle Scholar
  9. Larsson, T., and Patriksson, M. (1999). “Side constrained traffic equilibrium models analysis, computation and applications,” Transportation Research, 33B, 233–264.CrossRefGoogle Scholar
  10. Larsson, T., Patriksson, M., and Strömberg, A.-B. (1999). “Ergodic, primal convergence in dual subgradient schemes for convex programming,” Mathematical Programming, 86, 283–312.CrossRefGoogle Scholar
  11. Marcotte, P. (1986). “Network Design Problem with Congestion Effects: A Case of Bilevel Programming,” Mathematical Programming, 34, 142–162.CrossRefGoogle Scholar
  12. Marcotte, P., and Marquis, G. (1992). “Efficient implementation of heuristics for the continuous network design problem,” Annals of Operations Research, 34, 163–176.CrossRefGoogle Scholar
  13. Migdalas, A. (1995). “Bilevel programming in traffic planning: models, methods and challenge,” Journal of Global Optimization, 7, 381–405.CrossRefGoogle Scholar
  14. Patriksson, M. (1994). “The Traffic Assignment Problem — Models and Methods,” Utrecht: VSP, BV, The Netherlands.Google Scholar
  15. Sheffi, Y. (1985). “Urban Transport Networks: Equilibrium Analysis with Mathematical Programming Methods,” Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • Torbjörn Larsson
  • Jan T. Lundgren
  • Clas Rydergren
  • Michael Patriksson

There are no affiliations available

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