标题:Urban Arterial Traffic Coordination Control System
作者:Zhao, Jianyu; Tang, Diankui; Geng, Xin; Jia, Lei
通讯作者:Zhao, J
作者机构:[Zhao, Jianyu; Tang, Diankui; Geng, Xin] Univ Jinan, Sch Control Sci & Engn, Jinan 250022, Peoples R China.; [Jia, Lei] Shandong Univ, Sch Control S 更多
会议名称:International Conference on Artificial Intelligence and Computational Intelligence (AICI)
会议日期:OCT 23-24, 2010
来源:ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, AICI 2010, PT II
出版年:2010
卷:6320
期:PART 2
页码:275-283
DOI:10.1007/978-3-642-16527-6_35
关键词:arterial; coordination control; FNN; multi-agent
摘要:To optimize urban arterial traffic control, this paper analyzed coordination mechanism of all individual junctions along the road. We set up a traffic control system for urban area network based upon multi-agent technology. Each individual junction and the coordination were considered as agents. Each of them was embodiment of fuzzy neural network. We utilized particle swarm optimization arithmetic to optimize these FNNs. The agent directly talked to each other with FIPA ACL standard language. Compared to the traditional timing control mode, at a junction with moderate traffic volume, the average delay expressed in queue length can be reduced from 120.9(veh./h) to 25.4 (veh./h). Congestion thus significantly relieved.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649920790&doi=10.1007%2f978-3-642-16527-6_35&partnerID=40&md5=a332205e868a2d328dbd35c4fed4a721
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