Research On Path Planning And Parking Strategy Of Intelligent Parking Lot

With the deepening of China’s reform and opening up,the rapid increase in the number of civilian cars has brought about the problem of overwhelming traffic system as well as existing parking lots.Traditional parking lots are subject to the planning scheme of urban space,with problems such as difficult management,hard to find parking spaces and limited space utilization.In recent years,intelligent access parking lots can effectively solve the current parking problems and are attracting more and more attention.However,most of the intelligent parking lots are currently transforming the traditional parking lots,only adding management means such as automatic billing and real-time display of the number of parking spaces,which cannot be effectively applied to parking guidance and improve the utilization rate of parking lots.In this paper,based on the intelligent parking lot,we study its parking space optimization scheme,improve the path planning algorithm of the automatic guided vehicle（AGV）in the field,and propose a multi-vehicle cooperative intelligent parking lot access strategy to improve the number of parking spaces in the field and shorten the vehicle entry and exit time to improve the operation efficiency.Firstly,a detailed analysis of the technologies,measures and related problems adopted by the currently existing intelligent parking lots is presented,and a special car parking space arrangement method combined with a multi-objective cooperative optimization framework is proposed to optimize the car parking layout.Secondly,in the AGV path planning problem,the raster map method is used to express the environment map of the smart parking lot,and the ant colony algorithm is selected as the basic path planning algorithm by comparison,based on which the deadlock strategy is improved and the arithmetic formula and parameter setting of the heuristic information are improved.Finally,for the characteristics of multiple AGVs working together and their special features,they are divided into internal and external parking lots,and the optimal parking space is determined based on the nature of the parking lot when the vehicles are visited,and the multi-vehicle cooperative storage scheme is designed for the characteristics of the parking lot operation.After testing and analysis,compared with the conventional arrangement,the intelligent parking space arrangement mode proposed in this paper has better space utilization;the optimized path optimization method improves the speed of search;the vehicle storage scheme under the collaborative operation of AGV can effectively reduce the total waiting time of vehicles and also meet the actual demand.The research in this paper is necessary to improve the efficiency of intelligent parking,ensure the parking needs of the parking lot and reduce the operation cost.Figure [34] table [11] reference [65]...