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Research into Traffic Blocking Analysis Based on Multi-Dimensional Fuzzy Association Rule Algorithm

Traffic blocking is a complicated event that is caused by mutiple factors including meteorological enviromental,road alignment,vehicle status and traffic conditions. As there's a deficiency of research on relevance among these factors,the prevention and control of traffic blocking events have been the difficult issue of road management,especially freeway management. To find out the potential rules and relevance among these factors,this paper proposes a traffic blocking analysis method based on multi-dimensional fuzzy association rules algorithm. In accordance with the need of freeway management,a multi-dimensional attribute model is defined to describe traffic blocking events,based on the relevant national division system and a large number of traffic blocking cases. Then a fuzzy traffic blocking association rules algorithm based on the FCM is set up to mine the potential rules. The practical application of the research proves that the algorithm can effectively support the prevention and management of traffic blocking and thus has bright prospects in traffic blocking analysis.