A high performance multi-modal traffic simulation platform and its case study with the Dublin city

Abstract

This paper describes a highly scalable multi-modal traffic simulation platform and its case study in Dublin city. By leveraging various sources of open and administrative data for the Greater Dublin Region, we have built a city operating system like platform that simulates not only private cars but also public buses and trains. Our performance study demonstrates that our simulator is highly scalable by achieving 15.5 times faster than real-world time with 12 parallel threads. This is the first effort that has provided a high-performance and high-scalability traffic simulation on a distributed-memory environment and demonstrated the validity of the approach using real data sets.