A stochastic version of the strategy-based congested transit assignment model and a technique by smoothing approximations
| Autor: | Codina Sancho, Esteve|||0000-0002-9431-6158, Rosell Camps, Francisca|||0000-0003-3935-9267 |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya. IMP - Information Modeling and Processing |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Congested transit assignment
Smoothing approximation Sequences (Mathematics) Strategy-based transit equilibrium Seqüències (Matemàtica) Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC] 90 Operations research mathematical programming::90C Mathematical programming [Classificació AMS] Operations research Stochastic variational inequalities Investigació operativa 62 Statistics::62L Sequential methods [Classificació AMS] Matemàtiques i estadística::Investigació operativa [Àrees temàtiques de la UPC] |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | This paper develops a stochastic version for the strategybased congested transit assignment problem stated by Cominetti and Correa (Trans. Sci. 35(3):250-267, 2001). As a distinctive approach, this stochastic version takes into account stochastic mean waiting times of passengers at stops and in-vehicle travel times. The model is formulated as a stochastic variational inequality derived from the formulation of the deterministic version of the problem, also stated as a variational inequality problem, for which only a single solution method is known uptodate. Closely related with the stochastic model, and as a special case of it, a consistent smoothing approximation to the deterministic model is developed and it is shown that this approximation provides an alternative way of solving the deterministic model. It is also shown that both, the stochastic model and the smoothed approximation, can be solved by means of an adaptation of a path based method for the asymmetric traffic assignment problem. Computational tests have been carried out on several medium-large scale networks showing the viability of the method and its applicability to large scale transit models. |
| Databáze: | OpenAIRE |
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