Predicting Traffic Accidents Using the Conflict Coefficient

S. Zhankaziev, A. V. Zamytskih, A. Vorobyev, M. Gavrilyuk, M. Pletnev
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引用次数: 2

Abstract

The article presents theoretical approaches to the development of a methodology for predicting the occurrence of road accidents on public roads that occur as a result of collisions of two or more vehicles. The methodology for predicting the occurrence of road accidents is based on data received from transport detectors in real time. The advantage of using the method described above is the possibility of using it in real or forecast time. The described technique can be used for a comprehensive assessment of road safety on public roads, including in real time, when creating control algorithms for highly automated vehicles, as well as when creating intelligent transport systems.
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基于冲突系数的交通事故预测
本文提出了理论方法的发展,预测道路事故的发生在公共道路上,由于两辆或更多的车辆的碰撞而发生。预测道路事故发生的方法是基于从交通探测器实时接收到的数据。使用上述方法的优点是可以在实际或预测时间使用它。所描述的技术可用于公共道路上的道路安全综合评估,包括在为高度自动化车辆创建控制算法以及创建智能交通系统时进行实时评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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