A Study On Active Guidance And Parking Space Allocation Of Charging Parking In Chinese Cities

With the proposal of China’s intelligent manufacturing 2025,the rapid development of industrialization,especially in the field of automobile manufacturing,has led to the rapid growth of China’s car ownership,but the number of parking spaces in China is not only less than the total number of cars and the growth rate is only the same as the growth rate of car ownership.And the resource allocation of parking spaces is unreasonable,and the effective utilization rate is not high.The utilization rate in most areas is less than 50%.The service efficiency of parking lots is low,and the insufficient use of parking resources causes traffic congestion.A series of common urban diseases,such as parking difficulties,have implemented corresponding measures,but the final results are not satisfactory.In view of this,this article conducts the following research on the difficulty of parking.First of all,according to the research on the parking service of urban toll parking in our country,we analyze the current status and behavior of parking,and summarize the reasons for parking difficulties and the characteristics of the main solutions,and analyze the necessity of parking induction services and the advantages of active parking induction,and explain the research goals of this article.Then we establish a parking active induction model based on two constrained objectives: maximizing the allocation of users to the parking lot and minimizing the total parking time of the user,according to the Q-learning algorithm in reinforcement learning to obtain the shortest driving time,and through genetics Algorithm to obtain the feasible solution of the induced model.Secondly,the optimal parking space allocation model in the field is established according to the driving distance and the parking difficulty of the parking space,the weight is obtained by the entropy method,and the feasible solution of the multi-attribute allocation model is obtained by the VIKOR method,and the optimized The A * algorithm gets the best path guidance.Thirdly,a simulation experiment is carried out on the active parking guidance model and the parking space allocation model,and it is concluded that the above two models can effectively provide active parking guidance services.It was successfully implemented and proposed three guarantee measures for obtaining accurate road information,building an intelligent parking lot,and establishing comprehensive parking management.This article aims to improve the efficiency of parking lot service,improve the accuracy of active parking induction and parking space allocation,and alleviate the difficulty of urban parking through accurate information,unified information,strengthen management,rationalize resource allocation,and improve parking service efficiency...