Research On Key Technologies Of Urban Parking Guidance System For Cooperative Vehicle Infrastructure Systems

With the rapid spread of private car ownership,parking problem is becoming a major bottleneck restricting the development of modern cities.Unfortunately,it is extremely difficult to build new parking spaces in cities.Nowadays,many cities in China are trying to increase the utilization rate of existing parking resources through park-sharing,so as to alleviate existing parking problem.However,most of the current parking guidance systems detect the status of parking spaces through sensors pre-installed in parking lots,which is only suitable for large-scale parking lots under unified management,and cannot support park-sharing effectively.This study explores the new methods needed to expand the coverage of parking guidance systems and improves their service level for cooperative vehicle infrastructure systems(CVIS).Among them,intelligent connected vehicles are used to collect information about available parking spaces in small parking lots that are difficult to obtain by traditional parking guidance systems.The main research contents of this thesis are as follows:1)The research status of parking guidance systems and CVIS are reviewed.The new methods that should be adopted to construct the parking guidance system that can support park-sharing for CVIS is discussed,and the architecture of the urban parking guidance system that can receive available parking space information collected by third-party parking service platforms and can serve ordinary vehicles is designed.2)In view of the problem that the urban parking guidance system for CVIS cannot guarantee continuous access to the real-time available parking space information of each parking lot,a regional parking lot data repairing algorithm in which each parking lot can use its own data and surrounding parking lot data to repair its own missing data is designed,which effectively improves the accuracy of the repaired results.3)The urban parking guidance system for CVIS covers a wider area.In order to effectively improve its service level,the urban parking system is modeled based on complex network,and the service capabilities of each parking lot in the system is quantified according to the attraction of the parking lot to its nearby cruising vehicles.The model of urban parking system and its analysis results can enhance users’ awareness of the real-time situation of the system and effectively improve the service level of the urban parking guidance system.4)An information architecture that can better display the service capabilities of each parking lot in the urban parking guidance system is designed based on the coverage model,allowing users to understand the real-time situation of the urban parking system more intuitively and efficiently,and formulate more reasonable plans and management decisions on this basis.5)The overall structure and operation process of the prototype of the urban parking guidance system for CVIS are designed using the browser/server model,the system functions are implemented in the Python programming language,and the user-side application programming interface is implemented using Arc GIS for Server.Users can interactively view the information of parking lots through browsers,which not only reduces the load on the client computer,but also greatly increases the maintainability and upgrade efficiency of the system.The research on urban parking guidance system for CVIS not only provides new ideas for alleviating existing parking problem in cities,but also plays a significant role in realizing collaborative intelligence from single vehicle intelligence.