关键词: 实时车位, 位置分配, ArcGIS模型

Abstract: Urban parking problem has plagued people’s daily travel and puts a huge pressure on road traffic. In the case of free parking spaces in short supply, improving the utilization of parking spaces is one important way to solve the puzzle. Firstly, this paper develops a system prototype based on radio frequency identification technology and Baidu map API, obtaining real-time information on vacant parking spaces, capturing the driver request and providing parking spaces booking; then it quantifies the weight of four factors which influence the driver’s selection on parking spaces: the driving time from the current position to the parking lot, parking fee, the walking distance from parking lot to the right destination and the number of vacant parking lots. Then, in consideration of the vacant spaces are limited and real-time traffic conditions, the paper proposes a parking assignment model with 4 condition matrix, uniting the goal of user and system to a final goal which is to increase parking lots utilization. Finally, by using the Beijing road network data , traffic data , parking spaces data and other data in ArcGIS , a test is done, the test results show that , compared with ArcGIS location allocation model, the proposed allocation model is better, whose total system costs increased by 5% and the average utilization rate of parking spaces increased by 9%, the model is feasible.

Key words: real-time parking lot, location allocation, ArcGIS model