Research on the interspersed model of straight collision points at signal intersections in the environment of the Internet of vehicles

Abstract

The intersection is an important node in the road network, and the traffic capacity of the intersection determines the running state of the entire road network. Congestion at an intersection will inevitably lead to a decrease in road capacity, and the congestion will spread to adjacent road sections and intersections, forming a congested area "from points to surfaces". Based on gap optimization, this paper adjusts the gap between the speed of the main road and the traffic flow and optimizes the speed of the secondary road to make it pass the intersection safely. The control method proposed in this paper is verified by VISSIM simulation, and the average value of delay and the number of vehicles stops at the traditional un-signaled intersection and the un-signaled intersection under the internet of vehicles environment are analyzed and compared. The results show that the average total delay of un-signaled intersections in the internet of vehicles environment is reduced by 62.7%, the number of parking times per vehicle is reduced by 56.89%, and the traffic capacity of un-signaled intersections is improved.