Title :
A Multi-Agent Urban Traffic Control System Cooperated with Dynamic Route Guidance
Author :
Chen, Xin ; Yang, Zhao-sheng ; Wang, Hai-yang
Author_Institution :
Liaoning Inst. of Technol., Jinzhou
Abstract :
This paper explores the use of cooperative, distributed multi-agent system to improve urban traffic control system. Real-time control over the urban traffic network is accomplished through an agent-based distributed hierarchy traffic control system, which cooperated with dynamic route guidance system. Cooperative system framework and agent structure are discussed in the paper. Cooperative information organization flow chart for the system is put forward. The traffic data structure is described by particle size, real-time, actual effect and renewed frequency. Strategy cooperation is studied and strategy cooperation models are given. The system has the ability to cooperate and optimize the traffic signal controlled network through system self-study and adaptability. Results from simulation experiments suggest that cooperation with dynamic route guidance can increase traffic control efficiency
Keywords :
automated highways; data structures; multi-agent systems; road traffic; traffic information systems; cooperative information organization flow chart; distributed multiagent system; dynamic route guidance system; real-time control; strategy cooperation model; traffic data structure; traffic signal controlled network; urban traffic control system; Communication system traffic control; Control systems; Cybernetics; Databases; Educational institutions; Intelligent transportation systems; Machine learning; Multiagent systems; Navigation; Process control; Real time systems; Traffic control; Vehicle dynamics; Vehicles; Cooperation; Dynamic route guidance; Multi-agent system; Traffic signal control;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259033