Campus parking data analysis and parking space demand prediction based on Prophet
With the expansion of the campus scale and the increase of the number of teachers and students,parking has gradually become an important issue affecting the daily operation of the campus.This paper first collected campus parking data and conducted descriptive statistical analysis,data visualization and correlation analysis on the parking data of a campus.Secondly,the Prophet model is used to fit and forecast the data to reveal the spatial-temporal distribution characteristics and change laws of parking demand.Finally,based on the prediction results,this paper puts forward suggestions for optimizing campus parking management,aiming to improve the efficiency of parking resources and alleviate parking difficulties.The research results of this paper can not only provide theoretical support for campus parking management,but also provide reference for parking demand prediction in other similar scenarios.
Prophet modeldata analysisparking space demand analysis
NETL
NSTL
万方数据
