Study on Parking Mechanism Based on Parking Spaces Time Series

摘要

In order to further improve the accuracy of the parking lot scale and solve the traffic organization problem of the large-scale integrated underground parking lot, this paper analyzes the shortcomings of the traditional parking demand forecasting model which lacks the description of the dynamic change mechanism of the parking process, resulting in the poor accuracy of the prediction result. The time-varying law of the cumulative product/attract of each parking lot is obtained through the data fitting, and the correction coefficient is introduced according to the comparison between the reference land and the project land-The time-varying law model of the project land is obtained, and the net time-varying curve is drawn by the image method to obtain the parking scale of the project land.