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Book Sections Year : 2020

Coupling Multi-agent and Macroscopic Simulators of Traffic

Abstract

Traffic simulations exist in multiple scales and each of these scales presents some advantages and is useful in certain contexts. Usually, multi-agent simulations use more detailed models and give more precise results than macroscopic models but their high calculation cost does not allow them to simulate very big areas such as an entire region. To overcome these limitations, multiscale simulations emerged with the coupling of two or more simulations of different scales. This paper presents a generic solution to combine a macroscopic simulator working on a large area, which contains a smaller area simulated by a multi-agent simulator. The main challenge is to assure the coherence between both simulators on the smallest area since it is simulated by both simulators at the same time. We first highlight the issues to tackle and the problems to solve when coupling two existing simulators, then we propose solutions for the coupling, and finally evaluate them on an example scenario.
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Dates and versions

hal-02495459 , version 1 (02-03-2020)

Identifiers

Cite

Xavier Boulet, Mahdi Zargayouna, Gérard Scemama, Fabien Leurent. Coupling Multi-agent and Macroscopic Simulators of Traffic. In: Jezic, G., Chen-Burger, YH., Kusek, M., Šperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-agent Systems: Technologies and Applications 2019 (KES–AMSTA–2019) Smart Innovation, Systems and Technologies, 148, Springer, pp.323-332, 2020, ⟨10.1007/978-981-13-8679-4_26⟩. ⟨hal-02495459⟩
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