摘要
根据公共自行车在租赁点间的自流动性,利用城市公共自行车系统运行的OD数据,采用关联规则将具有较强相关性的租赁点归于同一个集合并赋予相应属性,然后对各集合中的租赁点进行空间聚类划分,最后生成调度区域划分方案;以杭州市公共自行车系统为对象进行划分仿真实验,结果表明:本文提出的基于关联规则的公共自行车调度区域聚类划分方法,兼顾城市公共自行车系统租赁点的空间和非空间属性,能够为公共自行车实时调度提供一种科学有效的调度区域划分方案。
According to the self-liquidity of public bicycles among rental points,taking use of public bicycle system＇ s running OD data, association rules are used to have greater relevance points into a single collection and give them corresponding properties. The method of spatial clustering division is used to the collections to generate final districtions.Taking Hangzhou public bicycle system as an example, the division method is used.The results showed that the clustering division of public bicycle scheduling region based on association rules method proposed in this paper not only takes into account the non-spatial attributes of rental points, but also into the spatial attributes of rental points.It provides a scientific and effective scheme for the real-time scheduling of public bicycle sysytem.
出处
《科技通报》
北大核心
2013年第9期209-212,216,共5页
Bulletin of Science and Technology
基金
国家自然科学基金资助项目(61174176
61273240)
杭州市社会发展科研专项(20120433B49)
关键词
OD数据
关联规则
空间聚类
公共自行车系统
区域划分
OD data
association rules
spatial clustering
public bicycle system
regional division
