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

被引:35
|
作者
Ehlers, Ute Christine [1 ]
Ryeng, Eirin Olaussen [1 ]
McCormack, Edward [2 ]
Khan, Faisal [3 ]
Ehlers, Soeren [4 ]
机构
[1] NTNU Norwegian Univ Sci & Technol, Dept Civil & Transport Engn, N-7491 Trondheim, Norway
[2] Univ Washington, Transportat Engn Grp, Dept Civil & Environm Engn, Seattle, WA 98195 USA
[3] Mem Univ, Fac Engn & Appl Sci, Proc Safety & Risk Engn Grp, St John, NF A1B 3X5, Canada
[4] Hamburg Univ Technol, Inst Ship Struct Design & Anal, D-21073 Hamburg, Germany
来源
关键词
Bowtie; Cooperative intelligent transport systems; Safety effect assessment; Fuzzy sets; APPROXIMATE;
D O I
10.1016/j.aap.2016.11.014
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
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.
引用
收藏
页码:125 / 141
页数:17
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