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Communication Dans Un Congrès Année : 2014

MOSAIIC: City-Level Agent-Based Traffic Simulation Adapted to Emergency Situations

Résumé

In this paper, we present MOSAIIC, an agent-based model to simulate the road traffic of a city in the context of a catastrophic event. Whether natural (cyclone, earthquake, flood) or human (industrial accident) in origin, catastrophic situations modify both infrastructures (buildings, road networks) and human behaviors, which can have a huge impact on human safety. Because the heterogeneities of human behaviors, of land- uses and of network topology have a great impact on the traffic flows, the agent-based modeling is particularly adapted to this subject. In this paper, we focus on the new traffic model itself: the way geographical data is used to build a network, the various behaviors of our agents, from the individual to the collective level.
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Dates et versions

hal-01267004 , version 1 (04-02-2016)

Identifiants

Citer

Guillaume Czura, Patrick Taillandier, Pierrick Tranouez, Éric Daudé. MOSAIIC: City-Level Agent-Based Traffic Simulation Adapted to Emergency Situations. International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014, Oct 2014, Kobe, Japan. pp.265-274, ⟨10.1007/978-3-319-20591-5_24⟩. ⟨hal-01267004⟩
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