Research On Speed Guidance Technology Of Cooperative Vehicle Infrastructure System Intersection

With the development of society,vehicle ownership and road traffic increased dramatically,relying on the traditional traffic management and technology has been unable to solve the traffic congestion,traffic safety and other issues.Cooperative Vehicle Infrastructure System(CVIS)is an important part of intelligent transportation.The application of this technology will help improve the urban traffic safety,alleviate the traffic congestion and reduce vehicle exhaust emissions,and effectively improve the overall efficiency,Intelligent Connected Vehicles(ICV)is equipped with advanced vehicle sensors,controllers and actuators and other devices,and integration of modern communications and network technology,so that vehicles with complex environmental perception,intelligent decision-making and control functions,and can achieve security,Environmental protection and comfortable driving a new generation of intelligent vehicles.Combined with the characteristics of CVIS and ICV,this paper first studies the speed guidance technology of vehicle in CVIS,and then studies the vehicle platoon with the multi-agent theory.The research work is summarized as follows:Firstly,the vehicle speed guidance study.In this paper,we first design the scene of the CVIS,and then combine the factors of vehicle movement and intersection signal control and other factors to establish the intersection speed guidance model,and then consider the vehicle in the process of traveling with the vehicle to interact,thurough the kinetic law,the real-time safety distance in the vehicle is calculated,and the speed guidance model is established with the aim of minimum vehicle delay.Considering the penetration rate of the vehicle,the vehicle speed guidance model under different network penetration is simulated by the actual road network,and the simulation results are analyzed.Secondly,vehicle platoon control algorithm research.The traditional vehicle platoon is formed by car-following model,and the platoon is unstable and uncontrolled.Therefore,this paper describe the vehicle platoon theory,and then uses the parameters such as displacement and velocity to establish the second-order multi-agent equation with the acceleration as the system control input,and design the control input equation,and then establishes flocking control algorithm that is suitable for the urban road vehicle platoon.And the effectiveness of the control algorithm is verified by simulation.Thirdly,combination of the vehicle platoon and intersection signal control.On the basis of the above research,the vehicle platoon is used in the intersection,combines with the intersection of signal control to establish intelligent network vehicle platoon control model.The model first divides the signal status of the intersection,and then divides the queue size of the vehicle entering the platoon area.At the same time,the vehicle entering the platoon area is formed.Finally,the queue is guided by the speed through the intersection.The validity of the model is verified by Vissim/Vb/Matlab joint simulation.