Markovian decision control for traffic signal systems

Xiao-Hua Yu, University of California - Irvine
Allen R. Stubberud, University of California - Irvine

Article comments

Copyright © 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. The definitive version is available online at: http://dx.doi.org/10.1109/CDC.1997.649773.

NOTE: At the time of publication, the author Xiao-Hua Yu was not yet affiliated with Cal Poly.

Abstract

Setting signals at intersections to minimize the queue length and vehicle delay time is a key goal in traffic management. In this paper, a new control strategy for a signalized traffic intersection is developed by applying Markovian decision control theory. Statistical analysis of simulation results with different arrival rates indicate the excellent potential of this approach.