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

Abstract : 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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Guillaume Czura, Patrick Taillandier, Pierrick Tranouez, Eric Daudé. MOSAIIC : City-Level Agent-Based Traffic Simulation Adapted to Emergency Situations. Hideki Takayasu, Nobuyasu Ito, Itsuki Noda, Misako Takayasu Proceedings of the International Conference on Social Modeling and Simulation, plus Econophysics Colloquium, Springer proceedings in complexity, pp.265-274, 2015, 978-3-319-20590-8. ⟨10.1007/978-3-319-20591-5_24⟩. ⟨www.springer.com/⟩. ⟨halshs-01214436⟩

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