Method of prediction on driving track of specific vehicles in potential group
WU Zi-ju · Jisuanji yingyong yanjiu · 2014
There are a lot of unknown patterns within the large amounts of raw traffic data generated by the urban intelligent traffic information system which can be used in urban road safety management. In order to effectively use these data,this paper proposed a method of prediction on driving track of specific vehicles in potential group(SVPG-TP). This method leveraged the proposed searching algorithm to potential group of specific vehicles and sequential pattern discovery and Bayesian networks complementary predictable pattern,effectively addressed the two big problems of the most concerned that both the potential group finding and driving track in the current urban road safety,in order to assure that the reliable technological means provided in urban road safety. Finally,the real system built for experimental test verifies the effectiveness and practicality of the proposed algorithm on potential group of specific vehicles traveling trajectory prediction in urban road safety management.