The Design And Implementation Of Self-Constructed Smart Parking Guidance System

The rapid growth of private car ownership greatly facilitates people’s travel,but at the same time brings about the problem of "parking difficulty".There are two main reasons for the "parking difficulty".One is the huge gap between the supply and demand of urban parking Spaces.Second,the data sharing of parking Spaces in parking lots is low.When car owners are looking for parking Spaces,they can get very little information about the valuable parking Spaces.In order to break the information asymmetry between the driver and the parking space,this paper developed a self-constructed smart parking guidance system in the field of intelligent parking,aiming at the problem of "the lack of parking internal navigation layer and vehicle positioning resources".The system includes carpark level intelligent terminal,carpark level background server,and user-level client APP,in order to improve the utilization rate of parking Spaces,improve the parking efficiency of car owners,alleviate urban traffic congestion,and promote the construction and development of a smart city.The main research work of this paper includes the following aspects:(1)The application market of self-constructed smart parking guidance system is investigated in detail and the demand is analyzed.The system architecture,system composition,system function and system software platform are designed.(2)The navigation layer on indoor parking lot,using image processing technology to the parking lot of form a complete set of emergency evacuation guide map digitally,get the coordinates of points and the fork in the road parking Spaces,indoor parking space through the analysis of the open platform baidu AI images taken by intelligent terminal parking lots,and get to the parking lots of busy idle state,the information fusion,completed the indoor parking lot reconstruction algorithm of the navigation layer research;Navigation of outdoor parking layer,using intelligent parking Spaces for monitoring image recognition technology,through the baidu AI open platform platform monitoring image,taken by analysis of monitoring equipment for parking lots of relative coordinates and busy idle state,on the basis of the physical location of the parking lot of the monitoring equipment,the information fusion,completed the outdoor parking lot reconstruction algorithm of the navigation layer research.(3)Environment for indoor parking lot vehicle positioning information acquisition,intelligent terminal designed a indoor parking lots,and through the install it in a parking space near the aisle,open platform using baidu AI analysis indoor parking intelligent terminal of the parking lot of the corridor by the number of vehicle license plate image,then on the basis of indoor parking parking Spaces in the intelligent terminal and binding,implements the parking level indoor vehicle positioning precision.(4)Set up parking lot background management platform,and developed an intelligent parking guide APP,based on the Android real machine test vehicle positioning,parking lot,parking lot search navigation layer,parking space booking and parking guidance function,the results show that the owner user select destination,parking lots and parking space booking in the APP,system can realize the owner user guide to booking space.