MOSAIIC: City-level agent-based traffic simulation adapted to emergency situations

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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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Czura, G., Taillandier, P., Tranouez, P., & Daudé, É. (2015). MOSAIIC: City-level agent-based traffic simulation adapted to emergency situations. In Springer Proceedings in Complexity (pp. 265–274). Springer. https://doi.org/10.1007/978-3-319-20591-5_24

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