Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect
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 imp...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/9873832 |
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| _version_ | 1849473343962480640 |
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| author | Gang Xue Huiying Wen |
| author_facet | Gang Xue Huiying Wen |
| author_sort | Gang Xue |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c8fd59580f5046d2b9989c3be867eb56 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-c8fd59580f5046d2b9989c3be867eb562025-08-20T03:24:11ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/98738329873832Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling EffectGang Xue0Huiying Wen1School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, ChinaIn 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.http://dx.doi.org/10.1155/2019/9873832 |
| spellingShingle | Gang Xue Huiying Wen Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect Journal of Advanced Transportation |
| title | Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect |
| title_full | Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect |
| title_fullStr | Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect |
| title_full_unstemmed | Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect |
| title_short | Crash-Prone Section Identification for Mountainous Highways Considering Multi-Risk Factors Coupling Effect |
| title_sort | crash prone section identification for mountainous highways considering multi risk factors coupling effect |
| url | http://dx.doi.org/10.1155/2019/9873832 |
| work_keys_str_mv | AT gangxue crashpronesectionidentificationformountainoushighwaysconsideringmultiriskfactorscouplingeffect AT huiyingwen crashpronesectionidentificationformountainoushighwaysconsideringmultiriskfactorscouplingeffect |