A real-time collision risk assessment method at tunnel entrance based on safety field theory

Multimodal Transportation Pub Date : 2024-05-31 DOI:10.1016/j.multra.2024.100139

Zhou Zhang , Zhuoyan Wei , Zheng Chen , Mingyang Pei

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引用次数: 0

Abstract

The main aim of this study was to propose a comprehensive risk indicator to identify the potential driving risk caused by the changing environment at tunnel entrance. Driving decisions are affected by many external factors, especially at the entrance of tunnels. However, driving indicators are mostly considering vehicle movement status currently. In this study, a safe potential field model including obstacle potential field, vehicle potential field and lighting potential field is constructed to evaluate influence of roads, drivers, vehicles, and change lighting conditions on driving risk. Furthermore, considering the driving risk distribution and its temporal change rate, a comprehensive driving risk indicator (CDRI) was established to evaluate the magnitude of driving risk. Finally, the comparison between CDRI and the other two classic risk indicators indicates that the CDRI proposed in this paper has a better performance in the safety assessment at tunnel entrance. It is expected that the finding in this study could be valuable in developing control and measures for in-tunnel driving risk declining.

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基于安全场理论的隧道入口实时碰撞风险评估方法

本研究的主要目的是提出一种综合风险指标，以识别隧道入口处不断变化的环境所造成的潜在驾驶风险。驾驶决策会受到许多外部因素的影响，尤其是在隧道入口处。然而，目前的驾驶指标大多考虑的是车辆行驶状态。本研究构建了一个安全势场模型，包括障碍物势场、车辆势场和照明势场，以评估道路、驾驶员、车辆和照明条件变化对驾驶风险的影响。此外，考虑到驾驶风险分布及其时间变化率，建立了综合驾驶风险指标（CDRI）来评估驾驶风险的大小。最后，通过 CDRI 与其他两个经典风险指标的比较，表明本文提出的 CDRI 在隧道入口安全评估中具有更好的性能。预计本研究的结果将对隧道内驾驶风险下降的控制和措施的制定具有重要价值。

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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来源期刊

Multimodal Transportation

CiteScore

5.10

自引率

0.00%

发文量