The invention provides an expressway confluence area vehicle conflict early warning method based on trajectory data. The method comprises full-coverage vehicle trajectory data extraction, traffic conflict risk identification and an active early warning model. The full-coverage vehicle trajectory data is realized by natural vehicle trajectories, shot by the unmanned aerial vehicle, of the highway confluence area, the traffic conflict risk is identified by a random parameter logic regression model established by traffic operation characteristics extracted from the vehicle trajectory data, and finally early warning is performed through a voice system. According to the method, the condition limitation of traditional data acquisition is solved, the defects of section data acquisition are made up, and the problems of high misjudgment rate, low precision and the like in the process of extracting traffic operation characteristics based on traditional data in an existing detection algorithm are solved.
本发明提供一种基于轨迹数据的高速公路合流区车辆冲突预警方法,包括全覆盖车辆轨迹数据提取、交通冲突风险识别以及主动预警模型。所述全覆盖车辆轨迹数据由无人机所摄的高速公路合流区的自然车辆轨迹实现,交通冲突风险由车辆轨迹数据提取的交通运行特征建立的随机参数逻辑回归模型识别,最后通过语音系统预警。本发明解决了传统数据采集的条件限制,弥补断面数据采集的缺点,克服了现有检测算法基于传统数据提取交通运行特征过程中,存在误判率高、精度较低等问题。
Expressway confluence area vehicle conflict early warning method based on trajectory data
一种基于轨迹数据的高速公路合流区车辆冲突预警方法
2024-09-06
Patent
Electronic Resource
Chinese
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