摘要
文章通过收集南通市区公交线路名称和站点名称,在不依赖GPS定位数据的基础上,通过采用K-means聚类算法分析乘客上车时间序列来建立乘客上车站点的理论模型,并跟车记录该线路每站点的实际上车乘客人数,进而验证所提理论的可行性。
By collecting the name of the bus line and the name of the site of the city of Nantong, on the basis of not relying on the GPS location data, the K-means clustering algorithm is used to analyze the passenger traffic time sequence and establish the theoretical model of the passenger boarding station, and record the number of passengers on the bus in the actual station, and then verify the feasibility of the proposed theory.
作者
杨健兵
Yang Jianbing(School of Information and intelligent Engineering, Nantong College of Science and Technology, Nantong 226007, China)
出处
《无线互联科技》
2019年第9期133-135,共3页
Wireless Internet Technology
基金
南通市科技资助项目
项目名称:BP神经网络技术在智能公交IC卡中的应用研究
项目编号:MS12017026-4
