A high performance approach with MATSim for traffic road simulation

Sara Moukir, N. Emad, Stéphane Baudelocq
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Abstract

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. High-performance 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].
基于MATSim的交通道路模拟的高性能方法
随着时间的推移,道路交通模拟越来越精确。例如,从基于流体方程的宏观模拟到基于多智能体范式的微观模拟,近年来创新不断涌现。最近,MATSim[1]、POLARIS[2]或SimMobility[3]等多智能体模型在应对复杂和微观仿真需求方面得到了重视。然而,这种微观和大规模的方法需要比家用电脑更高的计算能力。高性能计算方法可以作为对这类问题的相关响应。由于MATsim的模块结构,我们选择它作为我们研究的基础。提出了一种新的MATSim并行算法设计思路。作为实验支持的并行架构由GRID’5000(或G5K)[4]提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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