Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier
Roadside safety is one of the important components of highway systems due to its considerable rate of high-severity crashes. Traffic barriers play a key role in reducing the crash severity and saving more lives on roadsides but choosing an inappropriate traffic barrier could decrease traffic barrier...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2020-02-01
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| Series: | Journal of Traffic and Transportation Engineering (English ed. Online) |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095756418305336 |
| _version_ | 1818333047677779968 |
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| author | Amirarsalan Mehrara Molan Mahdi Rezapour Khaled Ksaibati |
| author_facet | Amirarsalan Mehrara Molan Mahdi Rezapour Khaled Ksaibati |
| author_sort | Amirarsalan Mehrara Molan |
| collection | DOAJ |
| description | Roadside safety is one of the important components of highway systems due to its considerable rate of high-severity crashes. Traffic barriers play a key role in reducing the crash severity and saving more lives on roadsides but choosing an inappropriate traffic barrier could decrease traffic barriers’ efficiency. This paper investigated the variables affecting crash severity in different traffic barrier types (cable, guardrail, and rigid) and vehicle types (truck, and non-truck). For this purpose, an ordinal logistic regression approach was conducted on the crash data collected between 2007 and 2016 in Wyoming. According to the results, different traffic barrier types show different relationships to crash severity based on posted speed limit at the site. In guardrail segments, a high-severity crash is more likely when the posted speed limit is more than 55 mph; however, cable barrier crashes were less severe in high-speed limit (>55 mph) areas. While light vehicles were more vulnerable to crashes hitting rigid barriers, no significant difference was found between performances of cable and rigid barriers in terms of truck crash severity. The analytical models proposed in this study would make a clear view for designers and decision-makers in selecting the most appropriate traffic barrier. Also, the effective factors introduced in each model could be used to rank the risk posed by existing traffic barrier segments based on traffic barrier type, truck volume percentage, and other highway characteristics. Keywords: Traffic barrier, Roadside safety, Truck, Crash severity, Ordinal logistic regression, Wyoming |
| first_indexed | 2024-12-13T13:45:26Z |
| format | Article |
| id | doaj.art-064ba75e70de4a589673d331cf3804dd |
| institution | Directory Open Access Journal |
| issn | 2095-7564 |
| language | English |
| last_indexed | 2024-12-13T13:45:26Z |
| publishDate | 2020-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Traffic and Transportation Engineering (English ed. Online) |
| spelling | doaj.art-064ba75e70de4a589673d331cf3804dd2022-12-21T23:43:26ZengKeAi Communications Co., Ltd.Journal of Traffic and Transportation Engineering (English ed. Online)2095-75642020-02-0171125136Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrierAmirarsalan Mehrara Molan0Mahdi Rezapour1Khaled Ksaibati2Department of Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA; Corresponding author. Tel.: +1 307 766 5550.Wyoming Technology Transfer Center, Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY 82071, USAWyoming Technology Transfer Center, Department of Civil and Architectural Engineering, University of Wyoming, Laramie, WY 82071, USARoadside safety is one of the important components of highway systems due to its considerable rate of high-severity crashes. Traffic barriers play a key role in reducing the crash severity and saving more lives on roadsides but choosing an inappropriate traffic barrier could decrease traffic barriers’ efficiency. This paper investigated the variables affecting crash severity in different traffic barrier types (cable, guardrail, and rigid) and vehicle types (truck, and non-truck). For this purpose, an ordinal logistic regression approach was conducted on the crash data collected between 2007 and 2016 in Wyoming. According to the results, different traffic barrier types show different relationships to crash severity based on posted speed limit at the site. In guardrail segments, a high-severity crash is more likely when the posted speed limit is more than 55 mph; however, cable barrier crashes were less severe in high-speed limit (>55 mph) areas. While light vehicles were more vulnerable to crashes hitting rigid barriers, no significant difference was found between performances of cable and rigid barriers in terms of truck crash severity. The analytical models proposed in this study would make a clear view for designers and decision-makers in selecting the most appropriate traffic barrier. Also, the effective factors introduced in each model could be used to rank the risk posed by existing traffic barrier segments based on traffic barrier type, truck volume percentage, and other highway characteristics. Keywords: Traffic barrier, Roadside safety, Truck, Crash severity, Ordinal logistic regression, Wyominghttp://www.sciencedirect.com/science/article/pii/S2095756418305336 |
| spellingShingle | Amirarsalan Mehrara Molan Mahdi Rezapour Khaled Ksaibati Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier Journal of Traffic and Transportation Engineering (English ed. Online) |
| title | Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier |
| title_full | Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier |
| title_fullStr | Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier |
| title_full_unstemmed | Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier |
| title_short | Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier |
| title_sort | investigating the relationship between crash severity traffic barrier type and vehicle type in crashes involving traffic barrier |
| url | http://www.sciencedirect.com/science/article/pii/S2095756418305336 |
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