基于大数据用户泊车行为的剩余车位预测研究  

Prediction of Remaining Parking Space Based on Big Data User Parking Behavior

作　　者：谢辅雯[1] 曹新宇 刘琴 肖莉 XIE Fuwen;CAO XinYu;LIU Qin;XIAO Li(Science and Technology College,Gannan Normal University,Ganzhou Jiangxi 341000,China)

机构地区：[1]赣南师范大学科技学院,江西赣州341000

出　　处：《信息与电脑》2020年第23期22-24,共3页Information & Computer

基　　金：赣州市社会科学研究课题(项目编号:20200263)

摘　　要：由于剩余车位数不断更新,用户看到的剩余车位数与到达停车场的有效剩余车位数往往不一致,从而会出现再次寻找停车场的情况.基于此,本文利用大数据对赣州出行者的泊车行为进行分析,分别选取3个不同区域的停车场,对其剩余车位进行预测研究,并提出相应的规划策略,旨在帮助帮助政府合理配置停车资源.Due to the continuous updating of the number of remaining parking spaces,the number of remaining parking spaces that users see is often inconsistent with the number of effective remaining parking spaces that arrive at the parking lot,which will lead to the situation of looking for the parking lot again.Based on this,this paper uses big data to analyze the parking behavior of travelers in Ganzhou,selects three parking lots in different regions,forecasts the remaining parking spaces,and puts forward corresponding planning strategies,aiming to help the government allocate parking resources reasonably.

关 键 词：大数据 泊车行为 剩余车位 

分 类 号：TP302.1[自动化与计算机技术—计算机系统结构]