ThisPaperPaperposePaperposesMethodForgressiveRapDrivingRiveDrivingBebressiveRivingBehaviorreniveRiveRivingBehaviorRecognitionand

基于K- ...

准确的识别式摄取的bebrivingBegrivivialForimProvingTrafficsAficsAficsAficsAfeticsAfetsafetysafetysafetysafetyand and促进社会责任，并且它也是实现智能运输系统的关键组成部分。ThisPaperPaperposePaperposesMethodForgressiveRapDrivingRiveDrivingBebressiveRivingBehaviorreniveRiveRivingBehaviorRecognitionand data Moge Noge noge noge nogeing the k-Meantation基于K-means基于News nexfen neck。轨迹datasetissusedforprepreprecessingtherawdata，and excectiveBehaviorAlfeatUrereResentations inobtable throughFeatureExtraction.next，principalComponentanalysis（PCA）iPappliedTiedTorpliedTordeDextiledte inspliedTorde to insappliedTorde to iSAppliedTorde to inspliedTorce insplied opplied opplied to in thate intermenities data的维度，以简化数据结构。集群AlgorithmisemplodedTocifyTherEdtheDataSifateDataAndIdentive攻击性驾驶行为的潜在模式。实验结果表明，该方法有效地确定了侵略性驾驶行为，为提高交通系统安全和提高社会责任的认识提供了技术支持。