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Development of a Multi-Agent Based Generic Traffic Simulator

  • Kosuke Ono
  • Takashi Hata
  • Toyofumi Maetani
  • Masateru Harao
  • Kouichi Hirata
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4012)

Abstract

In this paper we develop a multi-agent based traffic simulator by considering traffic flows as emergent phenomena over two layered multi-agent systems. The first layer is composed of vehicle agents and the second layer is composed of signal agents. The system can naturally express actual road networks and can reproduce various traffic congestions induced by means of local interactions among vehicle agents. We show the system is useful for the road enhancing problem to guess the most suitable place when a new road is constructed. Further, we study a traffic control system which dissolves congestions at intersections by monitoring the traffic flow at the first layer.

Keywords

Road Network Multiagent System Intersection Agent Signal Agent State Transition Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Lighthill, M.J., Whitham, G.B.: Pric. Roy. Soc. Lond. A229, 317 (1955)Google Scholar
  2. 2.
    Newell, G.F.: Opr. res. 9, 209 (1961)Google Scholar
  3. 3.
    Kato, Y.: Road traffic simulation by cellular automata method. Artificial Intelligence Society magazine, 15(2) (2000) (in Japanese)Google Scholar
  4. 4.
    Whale, J., Neubert, L., et al.: A cellular automaton traffic flow model for online simulation of traffic. Parallel Computing 27 (2001)Google Scholar
  5. 5.
    Wooldridge, M., et al.: Multiagent Systems. In: Weiss, G. (ed.) we, pp. 27–77. The MIT Press, Cambridge (1999)Google Scholar
  6. 6.
    Oouchi, A., et al.: Base and application of multiagent system - Calculation paradigm of complex systems engineering. Coronasha (2002) (in Japanese)Google Scholar
  7. 7.
    Li, M., et al.: Agent-Oriented Urban Traffic Control Simulation. In: 1996 IEEE Symp. on Intelligent Control, July 1996 (1996)Google Scholar
  8. 8.
    Misawa, S., et al.: Traffic signal control by reinforced study type multi-agent. In: Electronic telecommunication society thesis magazine (2000) (in Japanese)Google Scholar
  9. 9.
    Hata, T., et al.: Development of a Traffic flow Simulation System Based on Multi-Agent Models. In: Hinokuni Symposium (2005) (in Japanese)Google Scholar
  10. 10.
    Maetani, T., et al.: Research on traffic control system using multi-agent model. In: Hinokuni Symposium (2005) (in Japanese) Google Scholar
  11. 11.
    Koduka, H.: Proposal and evaluation of dynamic route search technique in nonequilibrium environment. Tsukuba university master’s thesis (2002) (in Japanese)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kosuke Ono
    • 1
  • Takashi Hata
    • 1
  • Toyofumi Maetani
    • 1
  • Masateru Harao
    • 2
  • Kouichi Hirata
    • 2
  1. 1.Graduate School of Computer Science and Systems EngineeringKyushu Institute of Technology, JPN 
  2. 2.Department of Artificial IntelligenceKyushu Institute of Technology, JPN 

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