DocumentCode
2158849
Title
Optimization of network signal timing
Author
Yu, Xiao-Hua ; Stubberud, Allen R.
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Volume
1
fYear
1998
fDate
21-26 Jun 1998
Firstpage
190
Abstract
A typical urban traffic network is a complicated large-scale stochastic system which consists of many interconnected signalized traffic intersections. This paper develops a decentralized real-time adaptive control strategy for the traffic networks based on Markov decision theory. Computer simulation results of this new approach on a five intersection traffic network indicate significant improvement over the traditional fully actuated control algorithm
Keywords
Markov processes; adaptive control; decentralised control; decision theory; large-scale systems; optimisation; real-time systems; road traffic; signalling; stochastic systems; traffic control; Markov decision theory; adaptive control; decentralized control; large-scale system; optimization; real-time systems; stochastic system; traffic intersections; urban traffic network; Adaptive control; Communication system traffic control; Control systems; Decision theory; Large-scale systems; Programmable control; Stochastic systems; Time measurement; Timing; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.694656
Filename
694656
Link To Document