The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks

Pau-Lo Hsu, Hsing-Han Liu

研究成果: Conference contribution同行評審

摘要

Traffic systems are difficult to be controlled with a simple linear algorithm because of theirhighly-nonlinear natures with different vehicle types, speeds, lengths, and flow rates; moreover, they are time-varied especially in urban areas and industrial parks with high-density employees. This paper will present a traffic flow control strategy with a fuzzy and adaptive algorithm to control traffic signals at an intersection to effectively improve the traffic flow rate [1]. With the recent development of networking technologies, this paper further integrates the proposed adaptive-fuzzy (AN) control and the multi-agent system as the proposed adaptive fuzzy multi-agent system (AF agent) to further improve the flow rate of traffic networks. Results with the VISSIM simulator indicate that the present approach is feasible in modern traffic network management.
原文English
主出版物標題2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8
發行者IEEE
頁面1217-1221
頁數5
ISBN(列印)978-1-4244-0990-7
DOIs
出版狀態Published - 2007
事件2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
持續時間: 7 十月 200710 十月 2007

出版系列

名字IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
ISSN(列印)1062-922X

Conference

Conference2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
國家Canada
城市Montreal, QC
期間7/10/0710/10/07

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