The invention discloses a driving behavior safety measurement and real-time early warning method for providing vehicle trajectory data drive, which comprises the following steps: firstly, acquiring real space road network data and real traffic flow data, selecting vehicle driving trajectory data in an NGSIM data set, selecting a driving behavior safety measurement index, constructing a driving behavior safety measurement comprehensive model, and performing real-time early warning on the driving behavior safety measurement comprehensive model; performing correlation analysis on the driving behavior safety measurement indexes by adopting a Pearson correlation coefficient method, obtaining a driving behavior safety measurement comprehensive model by adopting a CARTIC weighting method and weighting, comparing threshold values of the driving behavior safety measurement indexes by adopting a quartile difference method, and performing clustering analysis on the driving behavior safety measurement comprehensive model to obtain a driving behavior safety measurement result. And a personalized intelligent early warning scheme with high operability is formulated in combination with a threshold value analysis result, and technical support can be provided for evaluation and real-time early warning of driving behaviors of drivers in a road traffic system.
本发明公开了一种提供车辆轨迹数据驱动的驾驶行为安全度量与实时预警方法,首先获取真实的空间道路网数据和真实的交通流数据,选用NGSIM数据集中的车辆行驶轨迹数据,选取驾驶行为安全度量指标,构建驾驶行为安全度量综合模型,然后对驾驶行为安全度量指标采用皮尔森相关系数法进行相关性分析,再采用CARTIC赋权法和加权得到驾驶行为安全度量综合模型,采用四分位差法对驾驶行为安全度量指标的阈值进行对比,通过对驾驶行为安全度量综合模型进行聚类分析,结合阈值分析结果,制定个性化、可操作性强的智能预警方案,通过本发明,可以为道路交通系统中驾驶员的驾驶行为的评估和实时预警提供技术支持。
Vehicle trajectory data driven driving behavior safety measurement and real-time early warning method
车辆轨迹数据驱动的驾驶行为安全度量与实时预警方法
2023-04-04
Patent
Electronic Resource
Chinese
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