Application Of Data Mining In Intelligent Transportation System

The development of urban economy leads to increase the number of vehicles which leads to a series of problems such as heavy traffic jam, high frequency of traffic accident and pollution of environment. Those influence the current urban economic development and people’s life, and at the same time the construction of traffic infrastructure lags behind. Solving those problems which are referred above is the immediate needs. Through the construction of intelligent traffic management system using scientific and modern traffic management improve service level of road traffic management. Traffic management "intelligent" will greatly improve the efficiency of traffic management, and meet the needs of the urban traffic sustainable development.The first generation of automated traffic management system gained traffic information by wireless sensing, infrared, radar. The information would be transferred to command staff, and then commanders manage the traffic. It had made a huge improvement by using this way, reducing the burden of traffic police, easing the shortage of traffic police. However there are also some shortages of this system, like commanders only receiving the signal data without any information about site-condition. The decision making mostly depends on experiences, therefore, the first generation traffic management system cannot say the real automatic and intelligent.Currently, traffic management system combines the video image processing and pattern recognition, integration the urban facilities information, storing vast traffic data. Data mining technology can analysis the traffic data from micro or macro statistics, which would discover the correlation among the data, and even can predict the future traffic status. This system pushes the end of the low-level query operation to the decision support for the all levels decision-makers.This thesis analyses the data mining technology and traffic decision support system based on the data warehouse. Elaborate the specific application of intelligent traffic based on the data warehouse. Elaborate the specific application of intelligent traffic management system in the data mining technology.Finally, it proposes that the prediction of traffic jam state based on the algorithm C4.5decision tree, which achieved and verified by the weka platform. It concludes that is feasible to predict the statement of traffic jam based on the algorithm C4.5decision tree.