Automatic Control of Intersection Signal Based on Edge Computing
Intersection signal control needs to respond promptly to changes in traffic flow,especially dur-ing peak hours,and make quick and accurate adjustments to ensure smooth traffic.Therefore,this study proposes a method of automatic control of intersection signal based on edge computing.Edge computing is used to predict traffic flow at traffic intersections.Based on this,with the goal of minimizing vehicle delay time and enhancing traffic capacity,the second rate theory is introduced to describe the service level and congestion status of the regional road network,and a flow density model of traffic sections is established to achieve automatic control of traffic lights.The experimental results show that the research method can ac-curately predict the traffic flow at intersections,and the queue length of vehicles is shorter,indicating that the method can control the traffic lights at intersections.
edge computingintersectionsignal controltraffic flow forecastroad network congestionflow-density model
万方数据
维普
