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
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.694656
