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MATES : Multi-Agent based Traffic and Environment Simulator -- Theory, Implementation and Practical Application

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1 University of Tokyo, Tokyo, Japan

Computer Modeling in Engineering & Sciences 2006, 11(1), 17-26. https://doi.org/10.3970/cmes.2006.011.017

Abstract

This paper describes a development of an advanced traffic simulator based on a multi-agent approach which is named MATES (Multi-Agent based Traffic and Environment Simulator). City traffic phenomena are essentially regarded as complex systems consisting of a number of human beings. Each element creating traffic phenomena such as car (driver), traffic signal, pedestrian and others is modeled as an intelligent agent that possesses its own logic of behavior and preference. The environment surrounding each agent consists of other cars, road network, traffic signals, pedestrian and others. Interaction among numerous agents simulates nonlinear behaviors of city traffic phenomena. First we describe details of the theory and implementation of MATES, and then its fundamental features are examined. Finally MATES is applied to simulate city traffic in Kashiwa city in Japan, employing various real world data as input. Through the simulations, it is clearly demonstrated that MATES is a powerful tool to study complex city traffic problems precisely.

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APA Style
Yoshimura, S. (2006). MATES : multi-agent based traffic and environment simulator -- theory, implementation and practical application. Computer Modeling in Engineering & Sciences, 11(1), 17-26. https://doi.org/10.3970/cmes.2006.011.017
Vancouver Style
Yoshimura S. MATES : multi-agent based traffic and environment simulator -- theory, implementation and practical application. Comput Model Eng Sci. 2006;11(1):17-26 https://doi.org/10.3970/cmes.2006.011.017
IEEE Style
S. Yoshimura, “MATES : Multi-Agent based Traffic and Environment Simulator -- Theory, Implementation and Practical Application,” Comput. Model. Eng. Sci., vol. 11, no. 1, pp. 17-26, 2006. https://doi.org/10.3970/cmes.2006.011.017



cc Copyright © 2006 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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