DocumentCode
509039
Title
Signal Offset Optimization in Coordinated Signal Control System Based on Cointegration Theory
Author
Gong, Bowen ; Yang, Zhaosheng ; Lin, Ciyun
Author_Institution
Dept. of Traffic & Transp., Univ. of Jilin, Changchun, China
Volume
1
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
220
Lastpage
223
Abstract
Coordinated signal control can effectively ease urban traffic congestion, because which can improve the continuity of traffic flow movement and reduce delay. Real-time green light starting time setting is the key for practical engineering application of coordinated signal control system. Signal offset between adjacent intersections determines green light starting time. But traditional traffic control systems assuming signal offset being one or several fixed numbers can´t express the volatility and random of traffic flow movement. In order to increase the benefit of coordinated signal control, this paper adopts the nonlinear cointegration theory and model in economics to optimize signal offset based on a series of strict applicability tests with the practical data in Shanghai. The comparative results with actual statistical data are encouraging, the maximum reduction of travel time and delay are up to 38.12% and 45.65%.
Keywords
road traffic; statistical analysis; traffic control; cointegration theory; coordinated signal control system; delay reduction; nonlinear cointegration theory; real-time green light starting time setting; signal offset optimization; statistical data; traffic flow movement; urban traffic congestion; Control systems; Delay effects; Environmental economics; Information technology; Intelligent transportation systems; Lighting control; Real time systems; Road accidents; Testing; Traffic control; cointegration theory; coordinated signal control; green light starting time; signal offset optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.142
Filename
5369068
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