Model predictive control of expressway on-ramp based on cell transmission model
The disordered merging of on-ramp traffic will affect the normal running of the expressway mainstream,resulting in traffic congestion or even traffic accidents.In order to keep the traffic flow of urban expressway stable and orderly,a predictive control method based on Cell Transmission Model(CTM)was proposed.CTM traffic flow model was adopted as the process model,and the objective function was constructed by considering traffic efficiency,ramp queue and control signal fluctuation.Particle Swarm Optimization(PSO)was used to solve the problem.The simulation results showed that,compared with no-control scenario,the proposed on-ramp model predictive control method could effectively relieve congestion and reduce travel time,so that the expressway system could achieve good traffic performance.