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Study on Dynamic and Switched Control System of Arterial Traffic Signal Based on Multi-Agent
Ding, Chuandong1; Tang, Zian1; Tang, Minan1,2
2018
关键词arterial multi-agent coordinated control switched control chaos genetic algorithm fuzzy inference
页码99-105
英文摘要This article is based on the multi-agent technology, the structure framework of the dynamic and switched control system for arterial traffic signal system based on multi-agent is constructed. The intersection phase agent, the switching control agent and the arterial coordinated control agent are respectively designed, and the fuzzy inference module to realize each agent's intelligence is introduced in detail. In this system structure, the chaos genetic algorithm is applied to optimize the fuzzy membership function of intersection phase agent in real time to make it possess the ability of self-learning and improve the dynamic performance of the system, and the switching control agent is introduced to optimize the ordering of phases. Using matlab simulation software, simulation experiments were carried out for three consecutive intersections of arterial. The average queue length curve of vehicles at the intersection under different control methods is given. The results show that the proposed method has better control effect.
会议录2018 IEEE INTERNATIONAL CONFERENCE OF INTELLIGENT ROBOTICS AND CONTROL ENGINEERING (IRCE)
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
资助项目National Natural Science Foundation of China[61663021] ; Gansu Higher Education Research Funding Project[17JZR0168]
WOS研究方向Automation & Control Systems ; Engineering ; Robotics
WOS记录号WOS:000448157200020
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36176]  
专题兰州理工大学
通讯作者Ding, Chuandong
作者单位1.Lanzhou Jiaotong Univ, Dept Automat & Elect Engn, Lanzhou 730070, Gansu, Peoples R China
2.Lanzhou Univ Technol, Dept Mech & Elect Engn, Lanzhou 730070, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Ding, Chuandong,Tang, Zian,Tang, Minan. Study on Dynamic and Switched Control System of Arterial Traffic Signal Based on Multi-Agent[C]. 见:.
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