Application and Optimization of Edge Computing in Tunnel Lane Control
The design capacity of tunnel lanes in trunk roads is usually limited,which can easily lead to congestion when the traffic volume exceeds the carrying capacity of the road.This paper proposes a lane control system based on edge computing to address the problem of tidal lane management in tunnels.First,the system builds complex edge nodes,including sensing modules,communication modules,decision-making and control modules,etc.,to achieve tidal lane control during congestion periods.Secondly,the edge nodes in the system are based on network cameras,industrial computers and lane controllers to build a closely cooperating system,giving full play to the advantages of edge computing.Finally,in response to changes in traffic flow,this paper introduces an adaptive lane control strategy,which dynamically adjusts the phase duration through a Proportional-Integral-Derivative(PID)controller to optimize traffic flow efficiency.
万方数据
维普
