Simulation Research of Mixed Traffic Flow in Intelligent Network Test Field
The emergence of intelligent connected vehicles has provided new technological means to solve traffic problems.Eliminating the generation and propagation of traffic shock waves through the collaborative strategy of intelligent connected vehicles and traffic control is one of the effective means to improve traffic efficiency and safety.The speed control and variable speed limit control of intelligent connected vehicles under mixed flow are studied,as well as the collaborative control model and mechanism of the two.By building a digital twin perception platform for the test field,real-time mixed traffic flow data in the high loop area of the test field is obtained,and a collaborative control model framework and optimization solution are constructed to explore the actual effects of collaborative control strategies on traffic efficiency and safety in the high loop scenario of the test field.Through simulation experiments,core indicators such as traffic efficiency and safety were compared,and it was found that the collaborative control strategy optimized the collision time distribution data of the test field traffic flow by more than 50%,and optimized the total travel time of the current scenario by more than 20%.This provides a solution for optimizing traffic flow through intelligent connected vehicle control.
万方数据
维普
