DocumentCode :
2743835
Title :
Urban Traffic Trunk Two-direction Green Wave Intelligent Control Strategy and Its Application
Author :
Shen, Guojiang
Author_Institution :
Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
8563
Lastpage :
8567
Abstract :
A fire-new two-direction green wave intelligent control strategy was presented to solve the coordinated control problem of urban traffic trunk. The whole control structure was divided into the coordination layer and the control layer. The optimal public cycle time, up-run offset and down-run offset were calculated in the coordination layer, and the splits of each intersection in the trunk were adjusted in the control layer at the end of each cycle. The cycle time was adjusted by one fuzzy neural network arithmetic according to the traffic flow saturation degree of the key intersection in trunk. The offsets were calculated by the up-run speeds or the down-run speeds. The variable splits of each intersection were based on historical and real-time traffic information. The goal of this control strategy was to achieve the zero stop of the up-run or down-run vehicles in the trunk and make the vehicle average delay time less. The factual application results have shown to be very good
Keywords :
delays; fuzzy control; intelligent control; neurocontrollers; optimal control; road traffic; control layer; coordinated control; coordination layer; down-run offset; fuzzy neural network arithmetic; optimal public cycle time; traffic flow saturation; two-direction green wave intelligent control; up-run offset; urban traffic trunk; vehicle average delay time; zero stop; Arithmetic; Communication system traffic control; Control systems; Delay; Fuzzy control; Fuzzy neural networks; Intelligent control; Optimal control; Traffic control; Vehicles; coordinated control; intelligent control; two-direction green wave; urban trunk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713651
Filename :
1713651
Link To Document :
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