The invention discloses a dangerous lane change road section identification and control method based on real-time trajectory feature analysis, and realizes dynamic identification and control of a dangerous lane change risk road section based on vehicle real-time trajectory data analysis. Comprising the steps of vehicle dangerous lane changing risk analysis road segment semantic segmentation based on road structure features, weighted dangerous lane changing index statistics (rear-end collision index + speed index + lane changing frequency index) based on real-time track feature analysis, dangerous lane changing road segment classification dynamic identification and risk road segment classification management and control. The method breaks through the limitation that the traditional control method only focuses on the dangerous lane changing behavior of the vehicle, so that the control efficiency is low, and the dependence on vehicle sensing equipment is high, can remarkably improve the dynamic identification control level of the whole dangerous lane changing risk road section of the road network, and reduces the related accident risk.
本发明公开了一种基于实时轨迹特征分析的危险变道路段识别与管控方法,实现了基于车辆实时轨迹数据分析的危险变道风险路段动态识别管控,包括基于道路结构特征的车辆危险变道风险分析路段语义分割、基于实时轨迹特征分析的加权危险变道指数统计(追尾指数+速度指数+变道频率指数)、危险变道路段分类动态识别,风险路段分类管控,该方法突破了传统管控方法仅着眼于车辆本身危险变道行为导致管控效率低、车辆传感设备依赖性高的局限,可显著提高道路网络整体危险变道风险路段动态识别管控水平,降低相关事故风险。
Dangerous change road section identification and control method based on real-time track feature analysis
基于实时轨迹特征分析的危险变道路段识别与管控方法
2023-04-11
Patent
Electronic Resource
Chinese
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