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Modeling and Analysis of Artificial Transportation System Based on Multi-Agent Technology
Feng He; Jan Holzbecher; Yuantao Li; Fei-Yue Wang; Shuming Tang
2006-09-01
Conference NameThe Proceedings of the 9th IEEE International Conference on Intelligent Transportation Systems
Source PublicationIEEE INTELLIGENT SYSTEMS
Conference DateSeptember 17-20, 2006
Conference PlaceToronto, Canada
AbstractThis paper presents the multi-agent architecture for artificial transportation system. In this architecture, Petri net is used as basic model to represent agents. At an intersection, the agents are divided into two groups: one for the traffic-signal and the other for the vehicle flow, which are integrated to represent the behavior of this intersection. In addition, those agents can be used as the modularity to represent urban network of more scale. To coordinate different intersection agents, game theory is used to design coordination strategy between agents. The iterated elimination of strictly dominated strategies algorithm is presented to find Nash equilibrium.
KeywordPetri Nets Automated Highways Game Theory Multi-agent Systems Transportation Nash Equilibrium Petri Net Artificial Transportation System Game Theory Intersection Agents
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12401
Collection智能制造技术与系统研究中心_先进制造与自动化
Corresponding AuthorFeng He
Recommended Citation
GB/T 7714
Feng He,Jan Holzbecher,Yuantao Li,et al. Modeling and Analysis of Artificial Transportation System Based on Multi-Agent Technology[C],2006.
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