Abstract
These days practical traffic simulators are required to be able to solve large area problems simulating microscopic vehicle behaviors. However few simulators can do so. Multi-Agent based Traffic and Environment Simulator (MATES), a microscopic traffic simulator developed by the present authors, elucidates complex traffic systems, solves various problems, and reproduces the microscopic features of traffic phenomenon. In this paper, we parallelize MATES to accomplish large area simulations. First, we introduce a parallelization method based on a domain decomposition technique with an adaptive load balancing functionality. Next, we evaluate its performance such as parallel speedup. In the last experiment, we have achieved a simulation in which 1.7 million vehicles and 1.2 million intersections exist(the area size is as large as the Kanto region) in 3.1 hours on a 15-node PC cluster of which each node has a quad core CPU.
