Analyzing Overspeed Regularities of Commercial Vehicles Based on Data Mining

作者：Sun Dihua^*; Tang Liang; Wu Hongwei; Zhang Qiang

来源：7th World Congress on Intelligent Control and Automation, 2008-06-25 to 2008-06-27.

• data mining
• spatial attribute
• association rules
• commercial vehicle
• over-speed

This paper focused on analyzing the over-speed regularities of commercial vehicles which can't be well acquired nowadays. For the real-time monitoring data from the GPS receivers equipped on about 5000 commercial vehicles in Chongqing City, China were available, the data mining technology was introduced to analyze the over-speed regularities based on the huge data set Firstly a map-matching algorithm was proposed to preprocess the spatial attribute data. And then a four-dimensional data warehouse model was established. On the basis, pattern mining of data was realized by FP tree-based algorithm of association rules and tendency analysis method. The results show that the obtained patterns are effective enough to provide valid decision-making support for transportation safety management.

• 出版日期2008
• 单位重庆大学