CAJ | 학술논문

采用北京市可变信息板（variable message 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．
채용북경시가변신식판（variable message signs，VMS）계통근삼년발포적교통유도신식수거，연구료교통유도신식발포책략적공간관련규칙．수선기우계통취류산법분석사건점여상유VMS적관련도，근거기강약장상유로단적영향공간분급，병학정불동영향등급공간범위적대소；연후채용기우관계대수이론적관련규칙알굴산법，계산위치상린적VMS집합적지지도화치신도，학정불동영향등급공간범위내、상린영향등급공간범위VMS집합적의존관계．실증분석표명：공간관련규칙능장사건점상유적영향공간분급，병학정VMS간적의존관계，종이쇄정유도신식발포적각급영향공간이급상응적VMS，구유실제적응용개치，장응용우북경시교통유도신식발포전가보조결책계통．
Based on traffic guidance information data released by Beijing variable message signs （VMS） system in recent three years, spatial association rules of traffic guidance information release strategy are studied in this paper. At first, hierarchical clustering algorithm is adopted to analyze association degree between event node and upstream VMS. According to intensity of association degree, upstream road sections of event node are divided into different levels of influence space. At the same time, spatial extent of each influence space is determined. Then, association rule mining algorithm based on relational algebra theory is adopted to analyze association degree between adjacent VMS sets. Empirical analysis is conducted based on traffic guidance information data released by Beijing VMS system. Empirical analysis shows that spatial association rules can classify upstream influence road sections into different levels, and identify dependencies between VMS sets. The spatial association rules will be used to lock different influence road sections and corresponding VMS sets in traffic guidance information dissemination. The proposed spatial association rules are applicable to develop traffic guidance information release strategy.