Application of data mining in traffic state quantification and recognition
Ye Liang · Journal of Computer Applications · 2008
In the Intelligent Transportation System(ITS)environment,the magnanimous flow information of traffic detector was targeted,using data mining technology which included data collection,data preprocessing,data mining,result analysis and appraisal and pattern application to carry on new information extraction.Various stages request as well as the clustering analysis and the pattern recognition algorithm were proposed.Finally the new useful information traffic state was obtained from the magnanimous data.Simultaneously the real-time gathering traffic data was used to distinguish the traffic state,which finally indicated the recognition state could accurately reflect the actual traffic state.