Performance improvements for large scale traffic simulation in MATSim
Performance improvements for large scale traffic simulation in MATSim
复制标题
MATSim 中大规模交通模拟的性能改进
DOI：
10.3929/ethz-a-005864320
复制
发表时间：
2009
期刊：
影响因子：
3.9
通讯作者：
K. Axhausen
中科院分区：
文献类型：
--
作者：
Rashid A. Waraich;David Charypar;M. Balmer;K. Axhausen
多智能体运输仿真模型，如MATSim，已经被证明适合于基于计划网络的大规模场景的微观需求建模。近年来，调查方法正在使用提供更高空间分辨率的流动性信息的技术(例如GPS跟踪)。因此，对详细导航网络上的出行需求建模的需求增加，这显著降低了模拟速度。本文提出了利用事件驱动的概念来提高MATSim微观仿真模型的性能的方法以及一种并行实现。对包含100万条道路和730万个代理的瑞士导航网络的性能实验表明，大规模、多代理的微观模拟也可以应用于高分辨率的网络。
Multi-Agent transport simulation models, e.g. MATSim have proven to be suitable for modeling microscopic demand for large scale scenarios based on planning networks. In the recent years survey methods are using technologies which provides mobility information with a much higher spatial resolution (e.g. GPS tracking). Therefore, the need to model travel demand on detailed navigation networks rises, which slows down simulation speed significantly. This paper presents methods to increase the performance of the micro simulation model of MATSim using event driven concepts as well as a parallel implementation. The performance experiments with navigation networks of Switzerland containing up to one million roads and 7.3 million agents clearly show that large-scale, multi-agent micro-simulation can also be applied on high resolution networks.