计算机工程2018，Vol.44Issue(1)：44-50,7.DOI:10.3969/j.issn.1000-3428.2018.01.007
公共自行车系统的租赁点聚类与功能识别
Rental Points Clustering and Function Identification of Public Bicycle System
摘要
Abstract
The function identification of Public Bicycle System(PBS) plays an important role for the balancing scheduling and layout planning of the system.As a new public transport mode,PBS has accumulated more and more data,which not only can reflect the social and economic activities of users at different times and locations,but also has a close connection with the function of the rental points.By combining the spate-time attributes of the leased point and through the historical data analysis of the system,this paper constructs a rental points clustering model of public bicycle system.It makes use of the Latent Dirichlet Allocation(LDA) model and K-means clustering algorithm to find the functional areas of the system,and through the analysis of the clusters' use features and uses Point of Interest(POI) data and station names to verify the results.The results show that the proposed model can help the system managers grasp the function distribution of the rental points in PBS.关键词
公共自行车系统/区域功能/潜在狄利克雷分布模型/K-means算法/数据挖掘Key words
Public Bicycle System (PBS)/region function/Latent Dirichlet Allocation (LDA) model/K-means algorithm/data mining分类
信息技术与安全科学引用本文复制引用
申兴发,王兰迪..公共自行车系统的租赁点聚类与功能识别[J].计算机工程,2018,44(1):44-50,7.基金项目
国家自然科学基金“无线网络基于链路相关性的路由协议优化方法研究”(61672198) （61672198）
浙江省自然科学基金面上项目“低占空比无线/传感器网络通信模型与协议研究”(Y14F020197). （Y14F020197）
