Ma, Ta-Yu (2007) Dynamic travel behaviour modelling based on activity. PhD thesis, ENPC.
Abstract
This thesis aims at developing a dynamical activity-based travel behaviour model in a multimodal network and solving the related dynamic user equilibrium problem. We propose a time-dependant Ant Colony algorithm and a Cross Entropy based algorithm for solving the non-derivative variational inequality problems. For the large scale multimodal network dynamics modelling, we propose a packet-based multi-agent approach using Lagrangian a discretization scheme providing a fast and realistic approximation of traffic flow trajectories. A multi-agent based approach modelling travellers’ adaptive behaviour and the dynamics of multimodal traffic flow has been proposed.
| Item Type: | PhD Thesis (PhD) |
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| Thesis Supervisor: | Haj-Salem, Habib and Lebacque, Jean-Patrick |
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| Date: | 20 December 2007 |
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| Board of examiners: | Papageorgiou, Marcos and Mammar, Saïd and Leurent, Fabien and Appert-Rolland, Cécile and Aguilera, Vincent and Haj-Salem, Habib and Lebacque, Jean-Patrick |
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| Ecole Doctorale: | ED 448 VILLE ET ENVIRONNEMENT |
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| Collection (Fonds): | ENPC |
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| Institution: | ENPC |
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| Subjects: | 9. Sciences of Economy, Management and Society |
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| Uncontrolled Keywords: | Affectation dynamique de transport, Système multi-agent, Système de transport multimodal, Méthode entropie relative, Modèle d’activités, Dynamic traffic assignment, Multi-agents systems, Multimodal transportation systems, Cross entropy method, Activity-based modelling |
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