标题:Prediction of bus arrival time based on gps data: Taking no. 6 bus in huangdao district of qingdao city as an example
作者:Zhang, Xiangru ;Liu, Zhaohui
作者机构:[Zhang, Xiangru ;Liu, Zhaohui ] College of Transportation, Shandong University of Science and Technology, Qingdao; 266590, China
会议名称:38th Chinese Control Conference, CCC 2019
会议日期:27 July 2019 through 30 July 2019
来源:Chinese Control Conference, CCC
出版年:2019
卷:2019-July
页码:8789-8794
DOI:10.23919/ChiCC.2019.8866558
关键词:Bus arrival time; GPS data; K-means clustering; Rolling prediction
摘要:The development of bus priority strategy is of great significance to solve urban traffic problems, and one of the issues that passengers are most concerned about in bus travel is bus arrival time. In this paper, firstly, the related technologies of bus GPS data processing and bus arrival time prediction are studied, and then the running time of historical section is analyzed by K-Means clustering method, and the rolling prediction model of bus arrival time is put forward; finally, taking No. 6 bus in Huangdao District of Qingdao as an example, the prediction results of bus arrival time between the proposed model and other comparative models are discussed. The results show that the model can accurately predict the bus arrival time and meet the travel demand of passengers. © 2019 Technical Committee on Control Theory, Chinese Association of Automation.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074387201&doi=10.23919%2fChiCC.2019.8866558&partnerID=40&md5=33c8238efd039e09284950cde0a5937c
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