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Communication Dans Un Congrès Année : 2022

A high performance approach with MATSim for traffic road simulation

Résumé

Road traffic simulation becomes more and more accurate over time. From macroscopic simulations based on fluid equations, for example, to microscopic simulations based on the multi-agent paradigm, innovations have continued to emerge in recent years. Multi-agent models such as MATSim [1], POLARIS [2] or SimMobility [3] have been highlighted lately in response to complex and microscopic simulation requirements. However, this microscopic and large-scale approach requires much higher computing power than that delivered by a home computer. Highperformance computing approach can be a relevant response to this kind of problem. MATsim due to its module structure was selected as the basis of our study. We introduce a new concept for the design of parallel algorithm of MATSim. The parallel architectures used as support for the experiments presented are provided by GRID’5000 (or G5K) [4]. Index Terms—road traffic simulation, big data analysis, high performance computing, complex and heterogeneous dynamic system
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Dates et versions

hal-04495989 , version 1 (08-03-2024)

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Sara Moukir, Nahid Emad, Stéphane Baudelocq. A high performance approach with MATSim for traffic road simulation. 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI), Jul 2022, Kanazawa, Japan. pp.679-681, ⟨10.1109/IIAIAAI55812.2022.00140⟩. ⟨hal-04495989⟩
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