Research On Vehicle Guidance And Path Planning For Underground Parking Lots

Nowadays,the number of urban cars is increasing significantly.The order and efficiency of driver parking have an effect on the development of urban transportation.However,most of the current research on parking in cities focuses on off-site parking recommendations.As for the research after the vehicle enter the parking lot,there are a few problems resulting in driver's inability to ideal parking space quickly and efficiently.Those problems are low degree of application for existing information technology,or incomplete information of the parking space,or lack of corresponding vehicle guidance and parking space recommendation services.Therefore,on-site vehicle guidance and path planning research are particularly important for driver parking.In order to solve the above problems,this thesis selects the parking service of vehicles in the underground parking lot as the research object,combined the functional requirements of the parking lots,which have applied the existing technology theory and proposed corresponding technical solutions.The specific research process and results are as follows:(1)Analyzing and designing vehicle guidance service system for the underground parking lot.In response to the demands of driver and on-site management personnel,transmission technologies for vehicle perception information are used to enter and exit the car.It will also been used to parking space guidance monitoring,road vehicle information collection,area control terminal data transmission,parking space indicator display,route information release and other functions analyzed and designed.At the same time,the flow of vehicle guidance information collection,processing and parking space guidance is described.Through the Visual Studio 2015 integral development tools,the design of the interface and related functions is completed which is applied in the underground parking vehicle parking management software.The sensor monitoring and wireless communication technology are combined by means of the IAR Embedded Workbench programming environment,and the underground parking environment is selected for information collection and transmission quality test.The test results show that the program can instantly and accurately collect and release inside information which is conducive to the upgrade of information parking lot.(2)Research on the optimal parking guidance route.On the basis of completing the collection of on-site information,the process of guiding the parking path for vehicles is compared,and the necessity of path planning in parking services is clarified.By analyzing the influencing factors of parking space selection in the parking lot,the road network model of the parking lot was established by using the weighted undirected graph method.According to the road conditions,the edge weight function is constructed and the parking area is divided.According to the multiple parking preference indicators of the driver during parking process,the comprehensive attribute information of the effective parking spaces in the road network is deduced,and the improved vehicle guidance optimal path Dijkstra algorithm is introduced,which is simulated and verified in the MATLAB environment.According to the specific data of a certain underground parking lot at a certain time,the optimal parking space guidance path test analysis is carried out.The results show that the improved Dijkstra algorithm remarkably which improves the efficiency of path search.In the meantime,the optimal parking space decision fully considers the driver's preference contribution and the real-time changes of the information in the field,which can also reduce the time of on-site vehicle cruising.It will improve the user's parking experience,achieve good application results,have good practicality.