View in EDS PDF Full Text

Computation model of safety index for mountainous expressway accident-prone sections.

Saved in:
Bibliographic Details
Title: Computation model of safety index for mountainous expressway accident-prone sections.
Authors: Meng, Y.1 ywmeng@cqjtu.edu.cn, Zhang, J.2, Zhang, Y.3, Liu, Z.4, Qing, G.5
Source: Advances in Transportation Studies. Apr2026, Vol. 68, p277-294. 18p.
Subjects: Safety, Road safety measures, Express highways, Quantitative research, Traffic engineering, Statistics
Abstract: Accident-prone sections on mountainous expressways pose heightened risks due to complex terrain and alignment conditions. Quantitative evaluation of their safety levels is essential for prioritizing remedial measures and enhancing traffic management strategies. This study introduces the concept of a safety index for special sections and establishes a quantitative model. Five core factors--accident index, operating speed, alignment, road friction variation, and terrain--were selected. These indicators were weighted using CRITIC and integrated into a cloud model constructed through a positive normal cloud generator. The model accounted for the differential contributions of each factor across road sections and generated membership values that enabled accurate safety classification. The results identified clear differences among sections and provided a reliable basis for prioritizing interventions. The proposed model offers a practical decision-support tool for traffic management and construction authorities. It enables the identification and ranking of accident-prone sections, and it facilitates quantitative evaluation of intervention effectiveness before and after treatment, thereby supporting proactive safety management on mountainous expressways. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 191881595
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Computation model of safety index for mountainous expressway accident-prone sections.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Meng%2C+Y%2E%22">Meng, Y.</searchLink><relatesTo>1</relatesTo><i> ywmeng@cqjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+J%2E%22">Zhang, J.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Y%2E%22">Zhang, Y.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Liu%2C+Z%2E%22">Liu, Z.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Qing%2C+G%2E%22">Qing, G.</searchLink><relatesTo>5</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Advances+in+Transportation+Studies%22">Advances in Transportation Studies</searchLink>. Apr2026, Vol. 68, p277-294. 18p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Safety%22">Safety</searchLink><br /><searchLink fieldCode="DE" term="%22Road+safety+measures%22">Road safety measures</searchLink><br /><searchLink fieldCode="DE" term="%22Express+highways%22">Express highways</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering%22">Traffic engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Accident-prone sections on mountainous expressways pose heightened risks due to complex terrain and alignment conditions. Quantitative evaluation of their safety levels is essential for prioritizing remedial measures and enhancing traffic management strategies. This study introduces the concept of a safety index for special sections and establishes a quantitative model. Five core factors--accident index, operating speed, alignment, road friction variation, and terrain--were selected. These indicators were weighted using CRITIC and integrated into a cloud model constructed through a positive normal cloud generator. The model accounted for the differential contributions of each factor across road sections and generated membership values that enabled accurate safety classification. The results identified clear differences among sections and provided a reliable basis for prioritizing interventions. The proposed model offers a practical decision-support tool for traffic management and construction authorities. It enables the identification and ranking of accident-prone sections, and it facilitates quantitative evaluation of intervention effectiveness before and after treatment, thereby supporting proactive safety management on mountainous expressways. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=191881595
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.53136/979122182541117
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 277
    Subjects:
      – SubjectFull: Safety
        Type: general
      – SubjectFull: Road safety measures
        Type: general
      – SubjectFull: Express highways
        Type: general
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Traffic engineering
        Type: general
      – SubjectFull: Statistics
        Type: general
    Titles:
      – TitleFull: Computation model of safety index for mountainous expressway accident-prone sections.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Meng, Y.
      – PersonEntity:
          Name:
            NameFull: Zhang, J.
      – PersonEntity:
          Name:
            NameFull: Zhang, Y.
      – PersonEntity:
          Name:
            NameFull: Liu, Z.
      – PersonEntity:
          Name:
            NameFull: Qing, G.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 18245463
          Numbering:
            – Type: volume
              Value: 68
          Titles:
            – TitleFull: Advances in Transportation Studies
              Type: main
ResultId 1