Published in Proceedings of the 1998 American Control Conference, Volume 1, June 24, 1998, pages 190-194.
NOTE: At the time of publication, the author Xiao-Hua Yu was not yet affiliated with Cal Poly.
The definitive version is available at https://doi.org/10.1109/ACC.1998.694656.
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.
Electrical and Computer Engineering
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