Modeling and analysis of artificial transportation system based on multi-agent technology

Author

He, Feng ; Miao, Qinghai ; Li, Yuantao ; Wang, Fei-Yue ; Tang, Shuming

Author_Institution

Key Lab. for Complex Syst. & Intelligence Sci., Chinese Acad. of Sci., Beijing

fYear

2006

fDate

17-20 Sept. 2006

Firstpage

1120

Lastpage

1124

Abstract

This 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

Keywords

Petri nets; automated highways; game theory; multi-agent systems; transportation; Nash equilibrium; Petri net; artificial transportation system; game theory; intersection agents; multiagent technology; Decision making; Game theory; Grid computing; Intelligent systems; Laboratories; Multiagent systems; Rail transportation; Telecommunication traffic; Traffic control; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0093-7

Electronic_ISBN

1-4244-0094-5

Type

conf

DOI

10.1109/ITSC.2006.1707372

Filename

1707372