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A Strategic Markovian Traffic Equilibrium Model for Capacitated Networks.

Authors :
Zimmermann, Maëlle
Frejinger, Emma
Marcotte, Patrice
Source :
Transportation Science. May/Jun2021, Vol. 55 Issue 3, p574-591. 18p.
Publication Year :
2021

Abstract

In the realm of traffic assignment over a network involving rigid arc capacities, the aim of the present work is to generalize the model of Marcotte, Nguyen, and Schoeb [Marcotte P, Nguyen S, Schoeb A (2004) A strategic flow model of traffic assignment in static capacitated networks. Oper. Res. 52(2):191–212.] by casting it within a stochastic user equilibrium framework. The strength of the proposed model is to incorporate two sources of stochasticity stemming, respectively, from the users' imperfect knowledge regarding arc costs (represented by a discrete choice model) and the probability of not accessing saturated arcs. Moreover, the arc-based formulation extends the Markovian traffic equilibrium model of Baillon and Cominetti [Baillon JB, Cominetti R (2008) Markovian traffic equilibrium. Math. Programming 111(1-2):33–56.] through the explicit consideration of capacities. This paper is restricted to the case of acyclic networks, for which we present solution algorithms and numerical experiments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00411655
Volume :
55
Issue :
3
Database :
Academic Search Index
Journal :
Transportation Science
Publication Type :
Academic Journal
Accession number :
150289089
Full Text :
https://doi.org/10.1287/trsc.2020.1033