基于运行轨迹的车辆异常行为监测与研判

Monitoring and Research on Vehicle Abnormal Behavior Based on Running Track

车辆异常行为是影响道路安全、通畅的主要因素,基于轨迹特征分析判别对于识别车辆异常行为具有重要的现实意义。以多源车辆轨迹数据为基础,挖掘多种异常驾驶行为下的轨迹时空特性,提炼交通违章违法行为的风险特征共性,对驾驶员的安全驾驶行为做出有效评估,为加强车辆动态监管、创新交通安全治理模式提供了有效支撑。

Vehicle abnormal behavior is the main factor affecting road safety and smoothness.Analysis and discrimination based on track characteristics is of great practical significance to identify vehicle abnormal behavior.Based on multi-source vehicle trajectory data,this paper excavates the spatio-temporal characteristics of the trajectory under various abnormal driving behaviors,extracts the common risk characteristics of traffic violations and illegalities,evaluates the driver's safe driving behavior effectively,and provides effective support for strengthening vehicle dynamic monitoring and innovating traffic safety management mode.