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Multi-Agent Synergy in the Behavior—Intensive CA Model of Road Intersection

In: Liss 2014

Author

Listed:
  • Liming Yu

    (Beijing Jiaotong University)

  • Gou Juanqiong

    (Beijing Jiaotong University)

Abstract

Due to the homogeneity of cellular and the simplicity of algorithm, traditional CA modeling is weak in the simulation of social complexity which mainly contains the psychological and cultural factors of traffic participants. Based on the analysis of social complexity and the theory of planned behavior, a multi-level model of road Intersection combined with multi-Agent technology is established in this paper. The structures of Agents at different levels are designed with different social complexity characters. The synergy method of multi-Agents reflects the traffic operation and social complexity mechanism in the road interaction. This model effectively enriches the description and simulation of social complexity of CA model with improved structure of different cellular and their synergy mechanism.

Suggested Citation

  • Liming Yu & Gou Juanqiong, 2015. "Multi-Agent Synergy in the Behavior—Intensive CA Model of Road Intersection," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 483-487, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_70
    DOI: 10.1007/978-3-662-43871-8_70
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