交通诱导信息发布策略的空间关联规则

发布时间：2018-05-06 07:28

本文选题：交通诱导信息 + 发布策略　；参考：《系统工程理论与实践》2014年10期

【摘要】：采用北京市可变信息板(variabl emessage signs,VMS)系统近三年发布的交通诱导信息数据,研究了交通诱导信息发布策略的空间关联规则.首先基于系统聚类算法分析事件点与上游VMS的关联度,根据其强弱将上游路段的影响空间分级,并确定不同影响等级空间范围的大小;然后采用基于关系代数理论的关联规则挖掘算法,计算位置相邻的VMS集合的支持度和置信度,确定不同影响等级空间范围内、相邻影响等级空间范围VMS集合的依存关系.实证分析表明:空间关联规则能将事件点上游的影响空间分级,并确定VMS间的依存关系,从而锁定诱导信息发布的各级影响空间以及相应的VMS,具有实际的应用价值,将应用于北京市交通诱导信息发布专家辅助决策系统.
[Abstract]:The spatial association rules of traffic guidance information publishing strategy are studied by using the traffic guidance information data published in Beijing variabl emessage signsVMS system in recent three years. Firstly, the correlation degree between event point and upstream VMS is analyzed based on the system clustering algorithm, and the influence space of upstream section is classified according to its strong or weak, and the spatial range of different influence grade is determined. Then, an association rule mining algorithm based on relational algebra theory is used to calculate the support and confidence of the adjacent VMS set, and to determine the dependency of the VMS set in the range of different influence levels. The empirical analysis shows that spatial association rules can classify the influence space upstream of event points and determine the dependency relationship between them, thus locking down the influence space and corresponding VMSs of induced information release, which has practical application value. It will be applied to Beijing Traffic guidance Information Publishing expert aided decision system.
【作者单位】：北京交通大学城市交通复杂系统理论与技术教育部重点实验室;中国科学院大学数学科学学院;北京市公安局公安交通管理局;北京四通智能交通系统集成有限公司;
【基金】：国家高技术研究发展计划(863)项目(2011AA110303) 中央高校基本科研业务费专项基金(2012JBM073)
【分类号】：U495

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