Tai-Yu Ma () (LET - Laboratoire d'économie des transports - CNRS : UMR5593 - Université Lumière - Lyon II - Ecole Nationale des Travaux Publics de l'Etat) Jean-Patrick Lebacque () (Génie des Réseaux de Transport et Informatique Avancée - INRETS)
Abstract
This paper suggests a dynamic activity chaining model and proposes an arc-based Cross Entropy (CE) approach to approximate activity-chain-based dynamic user equilibrium. A multiagent approach is proposed for complex activity chaining behavior modeling and simulation on a multimodal road network. Each agent is considered as a rational expected utility maximizing user aiming to, at each activity location, maximizing total expected utility gain for not yet implemented activities in his/her activity program. The complex activity-chain-based dynamical user equilibrium condition is formulated by applying dynamic programming approach. By applying the proposed arc-based CE approach, an approximate of activity-chain-based dynamic user equilibrium can be achieved.
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Publisher Info
Paper provided by HAL in its series Working Papers with number
halshs-00310903_v2.
Length: Date of creation: 15 Jun 2009 Date of revision: Handle: RePEc:hal:wpaper:halshs-00310903_v2
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