Latest revision as of 19:21, 22 March 2021

Abstract

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 (<jats:italic>VORI</jats:italic>) 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.

Document type: Article

Full document

Original document

The different versions of the original document can be found in:

• http://downloads.hindawi.com/journals/jat/2019/9873832.pdf under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.1155/2019/9873832 under the license cc-by

• http://downloads.hindawi.com/journals/jat/2019/9873832.pdf,

http://downloads.hindawi.com/journals/jat/2019/9873832.xml,

http://dx.doi.org/10.1155/2019/9873832 under the license http://creativecommons.org/licenses/by/4.0

• http://dx.doi.org/10.1155/2019/9873832,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195 under the license http://creativecommons.org/licenses/by/4.0/

• https://www.hindawi.com/journals/jat/2019/9873832,

http://downloads.hindawi.com/journals/jat/2019/9873832.pdf,

https://academic.microsoft.com/#/detail/2996901405