Title :
A new control strategy for a signalized traffic intersection
Author :
Stubberud, Allen R. ; Yu, Xiao-Hua
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Abstract :
A traffic control problem can be formulated as a decision-making problem for a stochastic dynamic system. Optimal traffic signal settings at intersections can minimize the vehicle delay time or the queue length at a stop line. In this paper, a new adaptive control strategy for signalized intersections is developed and tested by simulation. The simulation results show significant improvement over the traditional fully actuated control algorithm, especially for the case of high volume traffic demand
Keywords :
adaptive control; decision theory; minimisation; optimal control; road traffic; signalling; stochastic systems; traffic control; adaptive control strategy; decision-making problem; high-volume traffic demand; optimal traffic signal settings; queue length minimization; signalized traffic intersection; stochastic dynamic system; traffic lights; vehicle delay time minimization; Adaptive control; Decision theory; Delay effects; Extraterrestrial measurements; Markov processes; Phase detection; Space stations; Time measurement; Traffic control; Vehicles;
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
DOI :
10.1109/ITSC.1997.660489