A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria

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A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria

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A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria

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Title: A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria
Author: Cepeda, M.; Cominetti Cotti-Cometti, Roberto; Florian, M.
Abstract: This paper concerns a frequency-based route choice model for congested transit networks, which takes into account the consequences of congestion on the predicted flows as well as on the expected waiting and travel times. The paper builds on the results presented in Correa [Correa, J., 1999. Asignacion de flujos de pasajeros en redes de transporte publico congestionadas. Engineering thesis, U. de Chile, Santiago] and Cominetti and Correa [Cominetti, R., Correa, J., 2001. Common-lines and passenger assignment in congested transit networks. Transportation Science 35(3), 250-267], extending these to obtain a new characterization of the equilibria which allows us to formulate an equivalent optimization problem in terms of a computable gap function that vanishes at equilibrium. This new model formulation can deal with flow dependent travel times and is a generalization of the previously known strategy (hyperpath) based transit network equilibrium models. The approach leads to an algorithm which has been applied successfully on large scale networks. Computational results for transit networks originating from practice demonstrate the applicability of the proposed approach.
URI: http://www.captura.uchile.cl/handle/2250/5496
Date: 2006-07
dc.identifier.citation: TRANSPORTATION RESEARCH PART B-METHODOLOGICAL Volume: 40 Issue: 6 Pages: 437-459 Published: JUL 2006


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