The invention discloses a method for predicting short-time traffic risk of a road section by utilizing roadside observation data. The method comprises the following steps of: 1) acquiring driving track data in a detection area by utilizing the roadside observation data; 2) counting traffic flow indexes according to continuous driving track data in the detection area, and obtaining collision safety indexes between vehicles; (3) selecting collision time and deceleration as identification indexes, and judging conflict events with collision risks in the detection area; 4) extracting traffic flow indexes and collision safety indexes within a set time before a conflict event occurs, and performing feature screening on various indexes by using a classification algorithm; 5) on the basis of the screened characteristic indexes, selecting the indexes with the top importance ranking as input, constructing a short-term traffic risk prediction model, and completing model training and testing by using training data; and 6) performing short-term traffic risk prediction based on the constructed short-term traffic risk prediction model. According to the method, the prediction accuracy can be improved.
本发明公开了一种利用路侧观测数据进行路段短时交通风险预测的方法,包括以下步骤:1)利用路侧观测数据获取检测区域内行车轨迹数据;2)根据检测区域内连续的行车轨迹数据,统计交通流指标,获取车辆间的碰撞安全指标;3)选取碰撞时间和减速度作为识别指标,判别检测区域内具有碰撞风险的冲突事件;4)提取冲突事件发生前设定时间内的交通流指标和碰撞安全指标,利用分类算法对各类指标进行特征筛选;5)基于筛选的特征指标,选择重要性排序靠前的指标作为输入,构建短时交通风险预测模型,并利用训练数据完成模型训练和测试;6)基于构建的短时交通风险预测模型,进行短时交通风险预测。本发明方法能提高预测精准率。
Method for predicting short-time traffic risk of road section by utilizing roadside observation data
一种利用路侧观测数据进行路段短时交通风险预测的方法
2021-09-24
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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