Research On Optimization Method Of Vehicle-Road Communication And Multi-Vehicle Cooperative Driving In Curved Area Under V2X Environment

The development of V2X technology has brought great convenience to the study of multi-vehicle collaborative driving systems,which is conducive to reducing the probability of traffic accidents and improving driving efficiency.However,due to the particularity of line shape,structure,environment,etc.,when the vehicle is driving in the curve area,there will be problems such as wrong transmission of command information and low driving efficiency.In order to explore the optimization method of vehicle-road communication and multi-vehicle cooperative driving in the curved area in the V2X environment,this paper mainly conducts research from the following aspects:(1)Aiming at the problems of long task processing time and high energy consumption in the process of collaborative driving,by establishing a vehicle networking model,considering three performance indicators of task completion time,task transmission energy consumption,and task execution cost,SAW method and EM method are used at the same time.The weight of the switching strategy is determined,and then the computing switching strategy of the SAW method and the EM method based on the greedy algorithm under edge computing is proposed.The weight determination method based on SAW/EM and the calculation switching strategy of the greedy algorithm are feasible,which can effectively reduce the average task completion time,the average task transmission energy consumption and the average task execution cost of the cooperative driving system.It provides a safe and efficient information transmission and processing basis for the research on the benefit optimization of multi-vehicle cooperative driving in the curved area in the V2X environment.(2)Aiming at the problem of low driving efficiency in the curve area,the safe and efficient V2X communication environment provided by research,considering the technical characteristics of V2X,aiming at comfort,travel time and energy consumption,adopt IDM(Intelligent Driving Model)The vehicle following function and the VSP(Vehicle Specific Power)fuel consumption calculation function are used to establish a multi-objective optimization model,and the NSGA-II algorithm(Non-dominated Sorting Genetic Algorithm-II)is used to solve the multi-objective optimization model to obtain the pareto frontier of the optimization target.,the results prove the rationality and effectiveness of the model,which is beneficial to improve the cooperative driving benefits of vehicles in the curve area,and provides a reliable model basis for the example simulation verification in the V2X environment.(3)In order to verify the actual control effect of the calculation and switching strategy of the curve area and the multi-objective optimization model of the curve area in the V2X environment,the entrance and exit sections of the Guilin Ring Expressway(S6501)are used as the actual test scene to build a VISSIM 2022-Python-The MATLAB secondary development platform verifies the calculation switching strategy of SAW and EM based on the greedy algorithm in the curved area and the practical application optimization effect of the multi-objective optimization model.In this paper,through the research on the key technologies of the collaborative driving system in the curved area in the V2X environment,by proposing a calculation switching strategy based on the greedy algorithm,the vehicle-road communication optimization method is studied,and the multi-objective optimization model is established to improve the driving efficiency in the curved area.Finally,the VISSIM2022-Python-MATLAB secondary development platform is used to build an example scene to verify the practical application effect of the research content in this paper,which provides a technical basis for future vehicle testing in the V2X environment.