Research On Regional Traffic Coordination Optimal Control Based On Vehicle Average Vehicle Delay Model

With the acceleration of urbanization,the traffic flow is increasing,and the problem of traffic congestion is becoming more and more serious.It has become a research hotspot to improve traffic efficiency by using regional traffic intelligent control and optimization technology.In view of the shortcomings of the existing research on regional traffic signal optimization control,this paper proposes a regional vehicle delay model based on phase difference coordination,and uses chaos genetic particle swarm optimization algorithm to coordinate and optimize the traffic signal timing scheme of each intersection in the region,which can effectively reduce the average delay time of vehicles in the region and improve the traffic efficiency.The main research contents are as follows:Firstly,according to the dynamic characteristics of regional traffic flow,a regional vehicle delay model and optimization algorithm based on phase difference coordinated control are proposed.The regional delay is divided into two cases: the external delay and the internal delay.The phase difference coordination mechanism is introduced to establish the relationship model between vehicle delay and public cycle,green signal ratio and phase difference.According to the characteristics of the model,a chaos genetic algorithm and its coordinated optimization are proposed.Simulation results show that the model and algorithm can effectively reduce vehicle delay and improve traffic efficiency.Secondly,a chaos genetic particle swarm optimization algorithm is proposed for the real-time and accuracy requirements of the above regional traffic optimization and coordination control.With traditional particle swarm optimization algorithm as the main body,a large number of particles are generated by using tent mapping,and high-quality particles are selected as the initial population to improve the quality of particles.In the iterative process,the particle swarm is divided according to the fitness value.The high-quality part uses the particle swarm algorithm to update the speed and position,the low-quality part uses arithmetic cross operation and the mutation strategy of keeping elite individuals to expand the global search scope.The simulation results show that the algorithm has stronger optimization ability,it can search the optimal timing scheme quickly and accurately,which meets the requirements of regional coordinated control.Finally,a simulation system of regional traffic coordination and optimization control is built based on vissim-matlab.The model of regional traffic network is built in VISSIM,the coordinated and optimized control is realized in MATLAB,and the information transmission between them is carried out through COM interface.A closed-loop simulation system of the coordinated and optimized control of regional traffic network is realized,which provides a new test method for the optimal control of regional traffic signal.Through the micro simulation experiment of the actual road network,it is verified that the regional traffic coordination optimization control model and method proposed in this paper can effectively reduce the regional traffic delay and improve the traffic efficiency of the road network.