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Vehicle Risk Analysis and En-route Speed Warning Research Based on Traffic Environment

机译:基于交通环境的车辆风险分析与途径速度预警研究

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摘要

In this paper, we established a method to assess the risk of traffic environment and proposed a vehicle speed early warning model that is related to the traffic environmental risk index. This risk assessment method of traffic environment takes into account three risk factors: the risk exposure, the probability of accident occurrence and the severity of accident. Simultaneously, two dynamic risk factors of operating speed and real-time speed are also introduced. The vehicle speed warning model is correlated with the Traffic Environment Risk Index. The establishment of Early Warning Vehicle Speed and Vehicle Speed Early Warning System are based on the Evaluation Index of Operating Vehicle Speed and Velocity Gradient. The traffic environment risk assessment method and speed early warning model are validated by using the accident data and the section speed data of Kunshi Expressway, respectively. The Spielman correlation coefficient between the risk grade and the number of road accidents is determined from our experiments to be 0.7109. The average value of speed gradient of early warning vehicle speed is less than that of running vehicle speed gradient. The accident rate of early warning speed is lower than that of running speed in the same section.
机译:在本文中,我们建立了一种评估交通环境风险的方法,并提出了与交通环境风险指数有关的车速预警模型。这种风险评估的交通环境方法考虑了三种风险因素:风险暴露,事故发生的可能性和事故严重程度。同时,还介绍了两个动态风险因素的运行速度和实时速度。车速警告模型与交通环境风险指数相关联。预警车速和车速预警系统的建立是基于操作车速和速度梯度的评估指标。通过使用事故数据和昆希高速公路的事故数据和截面速度数据,验证了交通环境风险评估方法和速度预警模型。风险等级和道路事故数量之间的斯皮尔曼相关系数是从我们的实验确定为0.7109的。预警车速的速度梯度的平均值小于运行车速梯度的平均值。预警速度的事故率低于同一部分中的运行速度。

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