Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect

المؤلفون المشاركون

Wen, Huiying
Xue, Gang

المصدر

Journal of Advanced Transportation

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-12-31

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص EN

In order to identify crash-prone sections of the highways in mountainous areas professionally and exclusively, the common phenomena of “sharp turns”, “continuous long downhill”, “multiple tunnels”, “dangerous roadside environment”, and complex and changeable meteorological environment, which all imply risk factors of the mountainous highways, are comprehensively considered.

Utilizing the improved classical coupling model, the coupling mechanism of the risk factors is revealed, and the coupling model of the traffic risk factors is constructed, by which the coupling degrees of multi-risk factors couplings are calculated respectively.

Based on the coupling degrees of the above factors, the concept of vehicle operation risk index (VORI) of the mountainous highway is introduced and its numerical value is quantified as the basis for identifying the crash-prone sections.

The 21 km of Songming to Huize section of the Songdai Highway in the Yunnan Province of China is selected as an example, and the good applicability of the identification model is verified.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Xue, Gang& Wen, Huiying. 2019. Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1170370

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Xue, Gang& Wen, Huiying. Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect. Journal of Advanced Transportation No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1170370

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Xue, Gang& Wen, Huiying. Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1170370

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1170370