Yanqun Yang
Evaluating Highway Traffic Safety: An Integrated Approach
Yang, Yanqun; Easa, Said M.; Lin, Zhibin; Zheng, Xinyi
Abstract
This paper presents a novel methodology for determining the overall highway safety level by integrating statistical analysis and analytic network process (ANP) with set pair analysis (SPA) which is applied in the evaluation of the overall highway safety for the first time. The methodology accounts for both quantitative and qualitative factors that contribute to traffic safety. The statistical analysis uses crash, alignment, intersection, and other data to determine the significant indices (variables) that affect safety. These indices are then combined with the planning (qualitative) indices to determine the weights of all indices based on expert opinions using ANP. Finally, the overall safety level of the highway is determined using SPA. The methodology is illustrated using data collected from two highways in China. The results demonstrate that the proposed methodology is sound and reliable. The methodology is applicable to existing or new highways and can help to effectively evaluate the overall safety of a highway and develop long-term strategies for safety improvements.
Citation
Yang, Y., Easa, S. M., Lin, Z., & Zheng, X. (2018). Evaluating Highway Traffic Safety: An Integrated Approach. Journal of Advanced Transportation, 2018, Article 4598985. https://doi.org/10.1155/2018/4598985
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 12, 2018 |
Online Publication Date | Jun 4, 2018 |
Publication Date | Jun 4, 2018 |
Deposit Date | Jul 12, 2018 |
Publicly Available Date | Jul 12, 2018 |
Journal | Journal of Advanced Transportation |
Print ISSN | 0197-6729 |
Electronic ISSN | 2042-3195 |
Publisher | Hindawi |
Peer Reviewed | Peer Reviewed |
Volume | 2018 |
Article Number | 4598985 |
DOI | https://doi.org/10.1155/2018/4598985 |
Public URL | https://durham-repository.worktribe.com/output/1321404 |
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2018 Yanqun Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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