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Simuler le trafic routier à partir de données réelles: Vers un outil d'aide à la décision

Abstract : Microscopic simulations of road traffic are a typical application domain for Multi-Agent Systems. Indeed, the individual-based approach allows to take into account the diversity of behaviors so as to consider real situations. More recently, geographical databases provide environmental information under open formats, which offers the opportunity to design agent-based traffic simulators which can be continuously informed of changes in traffic conditions. The use of such data, together with the adaptability of MAS, allows the realization of decision support systems that are able to integrate environmental and behavioral modifications in a direct way; and compare various scenarios built from different hypothesis in terms of actors, behaviors, environment and flow. We describe here a process which leads to the development of such a tool.
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https://hal.inria.fr/hal-01334670
Contributor : Cristal Equipe Smac <>
Submitted on : Tuesday, June 21, 2016 - 10:43:34 AM
Last modification on : Friday, December 11, 2020 - 6:44:03 PM

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  • HAL Id : hal-01334670, version 1

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Alexandre Bonhomme, Philippe Mathieu, Sébastien Picault. Simuler le trafic routier à partir de données réelles: Vers un outil d'aide à la décision. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, 30 (3), pp.329-352. ⟨hal-01334670⟩

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