Research on Signal Timing System Optimization under the Background of Intelligent Transportation

Abstract

Traffic signals are an important part of traffic management, of which the intelligent traffic signal timing system is an indispensable part of the intelligent transportation system. In order to improve the congestion of urban road intersections and improve their traffic capacity, this paper is based on the principle of automatic control of signal timing, based on the 15min flow rate, the traffic volume prediction is carried out by the gray prediction method (1, 1), and the prediction results are used to guide the optimization of the signal light timing at the road intersection, and the genetic algorithm is used to optimize the traffic lights at the trunk intersection based on the principle of continuous coordinated control, solve the optimal timing scheme, and implement it in MATLAB language. Later, taking an intersection in Lhasa as an example, the traffic simulation evaluation of the information and distribution system was carried out through the VISSIM5.3-03 simulation platform, and the simulation results showed that the algorithm had feasibility and certain advantages.