Data Mining in Traffic Flow Analysis of One Street in Beijing
In view of the problem of unbalanced traffic in work and off-work hours, the data mining technology are applied to the traffic flow of one street in the city of Beijing. The elementary theories and methods of data mining technology is introduced at first, then by using the clustering analysis tools provided by SQL SERVER 2000, we carry on a clean step to the primary data, set up a data mining model, and carry on the analysis to the result to obtain some traffic characteristics of the street. The time when the unbalance happens is determined and the corresponding traffic volume is acquired as well. Finally, the method of reversible lanes is given to solve the unbalanced volume of both directions. It not only helps the administrative personnel to manage the traffic more effectively, but also improve the capacity and safety of the street.
data mining traffic flow clustering analysis reversible lane
Chen Xi Huang Kai Tang Jianjuan
Research Institute of Highway, MOT Beijing, China Municipal Engineering Design and Research Institute Tianjin, China
国际会议
桂林
英文
475-477
2010-11-17（万方平台首次上网日期，不代表论文的发表时间）