Volume 40 Issue 3
Jun.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(3): 30-41
HU Liwei, ZHANG Chengjie, ZHAO Xueting, LIU Fan, LYU Yifan, XUE Yu. A Method for Assessing the Risks of Freeway Segments with Combined Horizontal and Vertical Curves[J]. Journal of Transport Information and Safety, 2022, 40(3): 30-41. doi: 10.3963/j.jssn.1674-4861.2022.03.004
Citation: HU Liwei, ZHANG Chengjie, ZHAO Xueting, LIU Fan, LYU Yifan, XUE Yu. A Method for Assessing the Risks of Freeway Segments with Combined Horizontal and Vertical Curves[J]. Journal of Transport Information and Safety, 2022, 40(3): 30-41. doi: 10.3963/j.jssn.1674-4861.2022.03.004
shu

A Method for Assessing the Risks of Freeway Segments with Combined Horizontal and Vertical Curves

doi: 10.3963/j.jssn.1674-4861.2022.03.004

  • Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China

  • Received Date: 2021-12-19
    Available Online: 2022-07-25
    Abstract
  • Freeway segments with combined horizontal and vertical curves might not satisfy the safety specifications of Highway Alignment Design(hereafter referred as HAD)even though each of them does so. To assess the risks of such road sections and improve road safety, a safety assessment method is proposed by using the extendable cloud theory and the ideal point method(IPM). Firstly, a road safety evaluation system is developed, which includes 15 indicators from the following five perspectives: drivers, roads, traffic, environment, and others, and each indicator is coded as one of five levels. Secondly, subjective and objective weights of the indicators are determined by the analytic hierarchy process(AHP)and entropy weight method(EWM), respectively, which are combined into one using the ideal point method.Thirdly, the risk levels of each indicator are classified based on the specifications, considering the fuzz boundaries of the qualitative indicators, and the qualitative indicators are quantified based on the principle of equal ratio. Finally, the membership evaluation matrix is developed, a comprehensive assessment vector is calculated, and the level of risk of road section is determined by the maximum membership principle. To demonstrate the proposed method, three cases from the Yunnan Province are used, and the results show that the proposed method not only provides compliant outcomes with the traditional fuzzy comprehensive assessment method but also offers more information. Specifically, the expected value of fuzzy grade eigenvalue for comprehensive assessment, i.e. Exr, reflects the safety level of the road sections; Confidence Factor θ reveals the reliability level of the result. In the studied cases, Exr of Section Y is higher than that of Section C, showing that Section Y is safer than Section C; Confidence Factor θ are all under 0.05, showing that the results are reliable. These results reveal the potential of the proposed method for road safety assessment.

     

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