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Pré-Publication, Document De Travail Année : 2008

a cross-entropy based multiagent approach for multimodal dynamic traffic assignment based on activity chaining

Résumé

In this paper, we propose a dynamical activity-chaining model for individuals' daily activity pattern formation over a multimodal network. The proposed activity-based approach considers travel demand decisions as subsidiary decisions resulting from activity chaining behavior on the basis of individual's scheduled activity programs. The decision making process is on the following: an individual aims to derive better satisfaction for the implementation of his scheduled activities in a sequential and heuristic way. Based on the experienced performance of choices made on previous days, a dynamical user equilibrium can be achieved by the individual's adaptation to a changing environment. For multimodal transport system modeling and simulation, a multiagent-framework is applied to describe both supply and demand dynamics in a congested multimodal network. We propose a node-based Cross-Entropy approach to solve the dynamical activity-chaining based traffic assignment problem. This approach derives iteratively optimal probability distributions for modal, departure time and route choices based on experienced performance of choice alternatives. The numerical study of the proposed approach is currently under investigation.
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Dates et versions

halshs-00310903 , version 1 (11-08-2008)
halshs-00310903 , version 2 (15-06-2009)
halshs-00310903 , version 3 (11-05-2011)

Identifiants

  • HAL Id : halshs-00310903 , version 1

Citer

Tai-Yu Ma, Jean-Patrick Lebacque. a cross-entropy based multiagent approach for multimodal dynamic traffic assignment based on activity chaining. 2008. ⟨halshs-00310903v1⟩

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