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Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on (2012)
Dublin, Ireland Ireland
Oct. 25, 2012 to Oct. 27, 2012
ISSN: 1550-6525
ISBN: 978-1-4673-2954-5
pp: 202-209
Traffic simulation can be very computationally intensive, especially for microscopic simulations of large urban areas (tens of thousands of road segments, hundreds of thousands of agents) and when real-time or better than real-time simulation is required. For instance, running a couple of what-if scenarios for road management authorities/police during a road incident: time is a hard constraint and the size of the simulation is relatively high. Hence the need for distributed simulations and for optimal space partitioning algorithms, ensuring an even distribution of the load and minimal communication between computing nodes. In this paper we describe a distributed version of SUMO, a simulator of urban mobility, and SParTSim, a space partitioning algorithm guided by road network for distributed simulations. It outperforms classical uniform space partitioning in terms of road segment cuts and load-balancing.
Traffic Simulation, Parallel and Distributed Simulation, Space Partitioning, Graph Partitioning, Road Network
Anthony Ventresque, Quentin Bragard, Elvis S. Liu, Dawid Nowak, Liam Murphy, Georgios Theodoropoulos, Qi Liu, "SParTSim: A Space Partitioning Guided by Road Network for Distributed Traffic Simulations", Distributed Simulation and Real Time Applications, IEEE/ACM International Symposium on, vol. 00, no. , pp. 202-209, 2012, doi:10.1109/DS-RT.2012.37
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