Chapuis, Kévin and Taillandier, Patrick and Gaudou, Benoît and Drogoul, Alexis and Daudé, Eric
A Multi-modal Urban Traffic Agent-Based Framework to Study Individual Response to Catastrophic Events.
(2018)
In: 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2018), 29 October 2018 - 2 November 2018 (Tokyo, Japan).
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 426kB |
Official URL: https://doi.org/10.1007/978-3-030-03098-8_28
Abstract
Urban traffic is made of a variety of mobility modes that have to be taken into account to explore the impact of catastrophic event. From individual mobility behaviors to macroscopic traffic dynamics, agent-based modeling provides an interesting conceptual framework to study this question. Unfortunately, most proposals in the domain do not provide any simple way to model these multi-modal trajectories, and thus fell short at simulating in a credible way the outcomes of a catastrophic event, like natural or industrial hazards. This paper presents an agent-based framework implemented with the GAMA modeling platform that aims at overcoming this lack. An application of this model for the study of flood crisis in a district of Hanoi (Vietnam) is presented.
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