Intelligent Algorithm Based Traffic Flow Automatic Control Method at Traffic Intersection

Abstract

In order to improve the dynamic control ability of traffic flow at traffic intersections under the group scheduling mode of comprehensive road network and alleviate the traffic congestion at key intersections, this paper designs an intelligent control method of traffic flow at traffic intersections based on intelligent algorithms. Firstly, the architecture model of traffic flow intelligent control at traffic intersections is established, and the time series of traffic flow detection at traffic intersections is constructed. According to statistics and probability calculation theory, the steady-state characteristic quantity of traffic flow output at traffic intersection is analyzed. In combination with the traffic dispatching demand of the intersection, the optimization analysis of the traffic flow control at the intersection is realized, the road network structure model of the intersection and the objective function and constraint parameters of the traffic flow control at the intersection are established, and the optimal solution set analysis of the traffic flow control parameters at the intersection is realized by using the adaptive equilibrium clustering and optimization control method. Thus, the design of the automatic traffic flow control method at the intersection based on the intelligent algorithm is realized. The experimental results show that after using the design method, the equilibrium distribution capacity of intersection traffic flow control is improved, the probability of intersection traffic congestion is reduced, and the intersection traffic capacity is improved, which has certain application value.