Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness
To mitigate the prevalence of highway accidents in Southwest China during adverse weather conditions, this study introduces a novel method for identifying accident-prone sections in complex meteorological circumstances. The technique, anchored in data mining’s support index, pioneers the concept of...
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| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/521 |
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| author | Yanyang Gao Chi Zhang Maojie Ye Bo Wang |
| author_facet | Yanyang Gao Chi Zhang Maojie Ye Bo Wang |
| author_sort | Yanyang Gao |
| collection | DOAJ |
| description | To mitigate the prevalence of highway accidents in Southwest China during adverse weather conditions, this study introduces a novel method for identifying accident-prone sections in complex meteorological circumstances. The technique, anchored in data mining’s support index, pioneers the concept of meteorological responsiveness, which includes the elucidation of its mechanisms and the development of computational methodologies. Historical meteorological data and accident records from mountainous highways were meticulously analyzed to quantify the spectrum of adverse weather impacts on driving risks. By integrating road geometry, weather data, and accident site information, meteorological events were identified, categorized, and assigned a meteorological responsiveness score. Outlier sections were processed for preliminary screening, enabling the identification of high-risk segments. The Meteorological Response Ratio Index was instrumental in highlighting and quantifying the influence of adverse weather on traffic safety, facilitating the prioritization of critical sections. The case study of the SC2 highway in Southwest China validated the method’s feasibility, successfully pinpointing eight high-risk sections significantly affected by adverse weather, which constituted approximately 19.05% of the total highway length. Detailed analysis of these sections, especially those impacted by rain, fog, and snow, revealed specific zones prone to accidents. The meteorological responsiveness method’s efficacy was further substantiated by correlating accident mechanisms under adverse weather with the road geometry of key sections. This approach stands to significantly enhance the safety management of operational highways. |
| format | Article |
| id | doaj-art-64a092074a2e491c8c88408c03e50f20 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-64a092074a2e491c8c88408c03e50f202025-01-24T13:19:41ZengMDPI AGApplied Sciences2076-34172025-01-0115252110.3390/app15020521Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological ResponsivenessYanyang Gao0Chi Zhang1Maojie Ye2Bo Wang3School of Highway, Chang’an University, Xi’an 710064, ChinaSchool of Highway, Chang’an University, Xi’an 710064, ChinaChina United Engineering Corporation, Jiulongpo, Chongqing 400039, ChinaSchool of Highway, Chang’an University, Xi’an 710064, ChinaTo mitigate the prevalence of highway accidents in Southwest China during adverse weather conditions, this study introduces a novel method for identifying accident-prone sections in complex meteorological circumstances. The technique, anchored in data mining’s support index, pioneers the concept of meteorological responsiveness, which includes the elucidation of its mechanisms and the development of computational methodologies. Historical meteorological data and accident records from mountainous highways were meticulously analyzed to quantify the spectrum of adverse weather impacts on driving risks. By integrating road geometry, weather data, and accident site information, meteorological events were identified, categorized, and assigned a meteorological responsiveness score. Outlier sections were processed for preliminary screening, enabling the identification of high-risk segments. The Meteorological Response Ratio Index was instrumental in highlighting and quantifying the influence of adverse weather on traffic safety, facilitating the prioritization of critical sections. The case study of the SC2 highway in Southwest China validated the method’s feasibility, successfully pinpointing eight high-risk sections significantly affected by adverse weather, which constituted approximately 19.05% of the total highway length. Detailed analysis of these sections, especially those impacted by rain, fog, and snow, revealed specific zones prone to accidents. The meteorological responsiveness method’s efficacy was further substantiated by correlating accident mechanisms under adverse weather with the road geometry of key sections. This approach stands to significantly enhance the safety management of operational highways.https://www.mdpi.com/2076-3417/15/2/521road engineeringadverse weatherrisk identificationsafety assessmentphysical element analysis method |
| spellingShingle | Yanyang Gao Chi Zhang Maojie Ye Bo Wang Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness Applied Sciences road engineering adverse weather risk identification safety assessment physical element analysis method |
| title | Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness |
| title_full | Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness |
| title_fullStr | Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness |
| title_full_unstemmed | Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness |
| title_short | Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness |
| title_sort | identification method of highway accident prone sections under adverse meteorological conditions based on meteorological responsiveness |
| topic | road engineering adverse weather risk identification safety assessment physical element analysis method |
| url | https://www.mdpi.com/2076-3417/15/2/521 |
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