An Intelligent Traffic-Flow-Based Real-time Vehicles Scheduling Algorithm at Intersection

The urban road traffic congestion is becoming a serious problem. The number of vehicles waiting to be processed at the intersection is rising sharply with the increase of the traffic flow, and it cannot be effectively scheduled by the traditional traffic lights. A real-time vehicle scheduling algorithm based on the traffic flow to improve the vehicle scheduling ability of the intersection and reduce the traffic pressure is proposed in this paper. Under the Internet of Vehicles and intelligent transportation information environment, the relative priority on the basis of the existing design of the signal phase is presented, which takes the vehicle waiting queue and waiting time as the control parameters. Traffic signal phase is selected according to the relative priority, which can adjust the traffic signal cycle at intersection in real time and enable as much as more vehicles to pass safely. The experimental results show that this algorithm has a higher vehicle passing rate than the existing algorithms in the same time.