a cross-entropy based multiagent
approach for multimodal activity chain
modeling and simulation
Résumé
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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CE_for_DTA_based_on_activity_chaining_EWGT2009.pdf (278.76 Ko)
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