Performance improvements for large scale traffic simulation in MATSim

Rashid A. Waraich, David Charypar, Michael Balmer, Kay W. Axhausen

Repository for Publications and Research Data (ETH Zurich) · 2009 · 37 citations · 0 references

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Abstract

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.