A stochastic congested strategy-based transit assignment model with hard capacity constraints
10.1016/j.trpro.2018.12.196
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/374477
Tipus de documentArticle
Data publicació2019-02-01
EditorElsevier
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
ProjecteROBUSTEZ, RECUPERACION Y ADAPTABILIDAD DE SISTEMAS DE TRANSPORTE PUBLICO (MINECO-TRA2014-52530-C3-3-P)
ROBUSTEZ, EFICIENCIA Y RECUPERACION DE SISTEMAS DE TRANSPORTE PUBLICO (MINECO-TRA2014-52530-C3-1-P)
ROBUSTEZ, EFICIENCIA Y RECUPERACION DE SISTEMAS DE TRANSPORTE PUBLICO (MINECO-TRA2014-52530-C3-1-P)
Abstract
This paper expands on the stochastic version of the strategy-based congested transit assignment problem described in Codina and Rosell (2017b), specifically by extending it to cases dealing with explicit line capacities. Following this previous work, the
stochastic model with explicit line capacities takes into account the stochastic mean waiting times and in-vehicle travel times of passengers at stops during the standard scenario journey of the planning period. This slightly modified model is formulated also as a stochastic variational inequality derived from the deterministic version of the problem with similar properties and characteristics, formulated by the authors in a previous work. For this stochastic capacitated model, two algorithms are presented which may take advantage of simplified simulation models for the bus stops in order to provide realistic mean waiting times for passengers at stops. Both algorithms can be easily adapted to the case of the model with non-strict capacities by Codina and Rosell (2017b)
CitacióCodina, E.; Rosell, F. A stochastic congested strategy-based transit assignment model with hard capacity constraints. "Transportation research procedia", 1 Febrer 2019, vol. 37, p. 298-305.
ISSN2352-1465
Versió de l'editorhttps://www.sciencedirect.com/science/article/pii/S2352146518306124
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