DocumentCode :
2324448
Title :
A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming
Author :
Yujie, Dai ; Zhao, Dongbin
Author_Institution :
Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
10-12 April 2010
Firstpage :
255
Lastpage :
260
Abstract :
Urban traffic congestions lead to a great deal of time consumption and exhaust emissions. So alleviating congested situation will have a good impact on both economy and environment. The signal control at isolated intersections is an effective and most important way to reduce the traffic jams and collisions. A lot of control theories including traditional mathematical ways and modern intelligent ways have been exploited. Adaptive Dynamic Programming(ADP) is an effective and easy-going intelligent control method. In this paper an algorithm based on ADP theory is proposed to adjust the signal time plan at isolated intersection. Simulations are taken under a microscopic traffic simulation software, TSIS(Traffic Software Integrated System) 5.1. Several criteria named MOE(Measures of Effectiveness) are collected to compare with the widely used pre-timed and actuated control. Results show that ADP control method have a better adaptability to the various traffic simulating real traffic flows.
Keywords :
adaptive control; dynamic programming; intelligent control; road traffic; TSIS 5.1 software; Traffic Software Integrated System; adaptive dynamic programming; intelligent control; isolated intersections; traffic signal control algorithm; Adaptive control; Communication system traffic control; Control systems; Dynamic programming; Fuzzy control; Intelligent control; Neural networks; Programmable control; Traffic control; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2010 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-6450-0
Type :
conf
DOI :
10.1109/ICNSC.2010.5461488
Filename :
5461488
Link To Document :
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