燕山大学学报2024，Vol.48Issue(1)：77-85,9.DOI:10.3969/j.issn.1007-791X.2024.01.009
基于IC卡数据的公交乘客上下站点预测研究
Boarding and alighting stop inference based on transit IC card data
摘要
Abstract
At present,IC card charging system cannot obtain the passengers'boarding and alighting stop points,which has caused certain difficulties for the analysis of the passenger flow of bus lines.By fully studying the IC card data and GPS data,a passenger boarding and alighting station matching model based on IC card data is constructed to excavate the bus operation characteristics and passenger travel characteristics contained in the data.The model considers both the closed bus travel chain and the non-closed bus travel chain and uses the binary algorithm and multi-probability fusion method to speculate on the passenger's boarding and alighting station based on the passenger's riding characteristics,which can effectively improve the efficient operation and management of the bus.Taking Chengde No.7 Line as an example for verification,the matching results of the boarding and alighting stations are analyzed by using a linear regression equation,and the correlation coefficient is as high as 0.977 and the regression equation coefficient value is 0.9785.The results show that the model can achieve effective matching of bus passengers boarding and alighting stops and have good reliability.关键词
上下车站点/IC卡数据/GPS数据/数据挖掘/数据分析Key words
boarding and alighting stops/IC card data/GPS data/data mining/data analysis分类
信息技术与安全科学引用本文复制引用
迟剑,李秀云,刘艳飞..基于IC卡数据的公交乘客上下站点预测研究[J].燕山大学学报,2024,48(1):77-85,9.基金项目
国家自然科学基金资助项目(62172352) （62172352）
河北省省级科技计划资助项目(20310301D) （20310301D）
河北民族师范学院2019年度重大招标课题资助项目(ZD2019002) （ZD2019002）
