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Assessing the safety effects of cooperative intelligent transport systems: A bowtie analysis approach

机译:评估合作智能交通系统的安全效果:领结分析方法

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摘要

The safety effects of cooperative intelligent transport systems (C-ITS) are mostly unknown and associated with uncertainties, because these systems represent emerging technology. This study proposes a bowtie analysis as a conceptual framework for evaluating the safety effect of cooperative intelligent transport systems. These seek to prevent road traffic accidents or mitigate their consequences. Under the assumption of the potential occurrence of a particular single vehicle accident, three case studies demonstrate the application of the bowtie analysis approach in road traffic safety. The approach utilizes exemplary expert estimates and knowledge from literature on the probability of the occurrence of accident risk factors and of the success of safety measures. Fuzzy set theory is applied to handle uncertainty in expert knowledge. Based on this approach, a useful tool is developed to estimate the effects of safety-related cooperative intelligent transport systems in terms of the expected change in accident occurrence and consequence probability. (C) 2016 Elsevier Ltd. All rights reserved.
机译:协作智能运输系统(C-ITS)的安全效果在大多数情况下是未知的,并且存在不确定性,因为这些系统代表了新兴技术。这项研究提出了领结分析作为评估合作智能交通系统安全效果的概念框架。这些措施旨在防止道路交通事故或减轻其后果。在可能发生特定单车事故的假设下,三个案例研究证明了领结分析方法在道路交通安全中的应用。该方法利用示例性专家估计和来自文献的知识,这些知识涉及事故危险因素的发生概率和安全措施的成功。模糊集理论用于处理专家知识中的不确定性。基于这种方法,开发了一种有用的工具,可以根据事故发生的预期变化和后果概率来估计与安全相关的协作式智能运输系统的效果。 (C)2016 Elsevier Ltd.保留所有权利。

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