Assessing the safety effects of cooperative intelligent transport systems: A bowtie analysis approach. (February 2017)

• Record Type: Journal Article
• Authors: Ehlers, Ute Christine; Ryeng, Eirin Olaussen; McCormack, Edward; Khan, Faisal; Ehlers, Sören
• Is Part Of: Accident analysis and prevention. Volume 99:Part A (2017)
• Page Start: 125
• Page End: 141
• Publication Date: 2017-02
• Subjects: Bowtie -- Cooperative intelligent transport systems -- Safety effect assessment -- Fuzzy sets; Accidents -- Prevention -- Periodicals; Accident Prevention -- Periodicals; Accidents -- Prévention -- Périodiques; 363.106
• DOI: 10.1016/j.aap.2016.11.014
• Languages: English
• ISSNs: 0001-4575

Abstract

Highlights: Bowtie analysis framework based on fuzzy set theory is proposed to road traffic safety. Case studies demonstrate the application of bowtie to accident occurrence and consequences. Approach could be used to estimate the effects of safety-related cooperative intelligent transport systems – both proactive and reactive. Abstract: 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.