GLORIA

GEOMAR Library Ocean Research Information Access

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • SAGE Publications  (1)
  • Wang, Kai  (1)
  • 2015-2019  (1)
  • 2019  (1)
Materialart
Verlag/Herausgeber
  • SAGE Publications  (1)
Person/Organisation
Sprache
Erscheinungszeitraum
  • 2015-2019  (1)
Jahr
  • 2019  (1)
  • 1
    Online-Ressource
    Online-Ressource
    SAGE Publications ; 2019
    In:  Advances in Mechanical Engineering Vol. 11, No. 6 ( 2019-06), p. 168781401985426-
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 11, No. 6 ( 2019-06), p. 168781401985426-
    Kurzfassung: To improve the accuracy of road safety evaluation, this article presents a method to calculate the average crash probability for highway sections based on fault tree and energy method. First, the average crash probability of sections was formulated based on fault tree theory, taking lateral instability, rollover, and rear-end crash into account. Second, an instability factor, which described the extent of steering instability and tire sideslip, was proposed based on energy method. Thereafter, the relationships between the instability factor and probability of lateral instability crash, the load transfer ratio and probability of rollover crash, the available sight distance and probability of rear-end crash were investigated. Then, the driver–vehicle–road multi-body dynamics model was developed based on the three-dimensional alignments of Ning-Luo Expressway using CarSim, the dynamics indexes such as lateral velocity, wheel vertical load were obtained, and the average crash probability of each section was calculated. Finally, the correlation between average crash probability and the average number of accidents was analyzed to validate the accuracy of the proposed method. Results reveal that the proposed method can improve the accuracy of evaluation results, compared with existing methods, thus providing theoretical basis for black spot identification of both design phase and in-service highways.
    Materialart: Online-Ressource
    ISSN: 1687-8140 , 1687-8140
    Sprache: Englisch
    Verlag: SAGE Publications
    Publikationsdatum: 2019
    ZDB Id: 2501620-9
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...