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

Liming Yu () and Gou Juanqiong ()
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Liming Yu: Beijing Jiaotong University
Gou Juanqiong: Beijing Jiaotong University

A chapter in LISS 2014, 2015, pp 483-487 from Springer

Abstract: 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.

Keywords: Social complexity; Cellular automata (CA); Multi-agent; Synergy (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_70

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DOI: 10.1007/978-3-662-43871-8_70

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