Research on Modeling of Complicate Traffic Simulation System

  • Jiankun Wu
  • Linpeng Huang
  • Jian Cao
  • Minglu Li
  • Dejun Wang
  • Mingwen Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4561)


With the increasing of traffic complexity, traffic simulation becomes an important approach to deal with the complicated traffic problems; meanwhile, system modeling plays a more and more important role in the simulation systems. Cellular automata provide a simple discrete deterministic mathematical model for physical, biological, and computational systems and are shown to be capable of complicated behavior and generate complex and random patterns, which are very suitable for the description of complicate traffic environment [7]. A simulation model based on agent technology, HLA/RTI technology and expanded cellular automaton is presented in this paper. The simulation model makes the platform expandable and flexible, at the same time, it can provide high-capable computing resources to solve the complex traffic issues. In the traffic entity model aspects, the expanded cellular automata and agent technology were adopted to model the behaviors of passengers, vehicles, traffic signal lights and so on. The optimal scheme for evacuation of traffic disaster, superintendence of large scale activities and design of traffic environment will be obtained through the simulation model.


Traffic simulation Agent HLA/RTI Complexity system Cellular automata 


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  1. 1.
    IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA)-Frame and Rules [S], IEEE Std 1516-2000, September 2000 (2000) Google Scholar
  2. 2.
    Pan, X., Han, C.S., Law, K.H.: A Multi-agent based Simulation Framework for the Study of Human and Social Behavior in Egress Analysis (2006),
  3. 3.
    Jade - Java Agent Development Framework (2006),
  4. 4.
    WSRF-The WS-Resource Framework (2006),
  5. 5.
    Globus Toolkit 4.0 (2006),
  6. 6.
    Bing, S.H., li, C.Y.: An Overview of Computer Simulation Research on Traffic Systems. Computer Simulation 21(3), 101–104 (2004)Google Scholar
  7. 7.
    Mamei, M., Roli, A., Zambonelli, F.: Emergence and Control of Macro-Spatial Structures in Perturbed Cellular Automata, and Implications for Pervasive Computing Systems. IEEE Transactions on Systems, Man, and Cybernetics 35(3), 337–348 (2005)CrossRefGoogle Scholar
  8. 8.
    Bauer, B., Müller, J.P., Odell, J.: Agent UML: A Formalism for Specifying Multi-agent Software Systems. International Journal of Software Engineering and Knowledge Engineering 11(3), 1–24 (2001)CrossRefGoogle Scholar
  9. 9.
    Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407, 487–490 (2000)CrossRefGoogle Scholar
  10. 10.
    Kirchner, A., Schadschneider, A.: Simulation of evacuation process using a bionics-inspired cellular automaton model for pedestrian dynamics. Physica A 312, 260–276 (2002)zbMATHCrossRefGoogle Scholar
  11. 11.
    Kirchner, A., Nishinari, K., Schadschneider, A.: Friction effects and clogging in a cellular automaton model for pedestrian dynamics. Physical Review E 67, 56–112 (2003)CrossRefGoogle Scholar
  12. 12.
    weiguo, S., yanfei, Y., Tao, C.: Influences of Exit Conditions on Pedestrian Evacuation. Fire Safety Science 12(2), 100–104 (2003)Google Scholar
  13. 13.
    weiguo, S., yanfei, Y., weicheng, F., heping, Z.: An evacuation model based on cellular automaton which pays attention to friction and repulsion. Science in China Ser. E Engineering & Materials Science 35(7), 725–736 (2005)Google Scholar
  14. 14.
    weiguo, S., yanfei, Y., heping, Z.: Evacuation Analysis of a Large Shopping Mall. Engineering Science 7(10), 78–83 (2005)Google Scholar
  15. 15.
    weifeng, F., lizhong, Y., rui, H.: A Multi2agent Model Based on Cellular Automata for Simulating Human Behavior to Assess Building Design Performance. Engineering Science 5(3), 67–71 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Jiankun Wu
    • 1
  • Linpeng Huang
    • 1
  • Jian Cao
    • 1
  • Minglu Li
    • 1
  • Dejun Wang
    • 1
  • Mingwen Wang
    • 2
  1. 1.Department of Computer Science, Shanghai Jiaotong University, Shanghai, 200240P.R. China
  2. 2.School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330027P.R. China

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