Classification Tree Modelling of Factors Impacting Severity of Truck-Related Crashes in Ohio
Large truck safety is a very crucial aspect of the overall safety of the transportation system. Records show that in the United States and in the state of Ohio large trucks are over-represented in fatal and serious injury crashes. Recognizing this alarming impact of large truck-related crashes in the overall transportation safety, this study attempts to identify strongly important factors that increase the risk of injuries/fatalities due to large truck-related crashes. The study used truck-related crash data from Ohio for two and half years (July 2013-December 2015). The classification tree model was used in analyzing the data. It was determined that the strongly important factors of large truck-related crash severity are collision type, posted speed limit, collision event, speed-related, and intersection-related. These kind of crashes can be reduced by drivers abiding to driving laws and law enforcement strategies to ensure driving laws are followed.
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Supplemental Notes:
- This paper was sponsored by TRB committee ANB70 Standing Committee on Truck and Bus Safety.
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Authors:
- Eustace, Deogratias
- Alqahtani, Thaar
- Hovey, Peter W
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Conference:
- Transportation Research Board 97th Annual Meeting
- Location: Washington DC, United States
- Date: 2018-1-7 to 2018-1-11
- Date: 2018
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 14p
Subject/Index Terms
- TRT Terms: Classification; Crash characteristics; Crash data; Crash injuries; Crash severity; Fatalities; Truck crashes
- Geographic Terms: Ohio
- Subject Areas: Highways; Motor Carriers; Safety and Human Factors;
Filing Info
- Accession Number: 01663060
- Record Type: Publication
- Report/Paper Numbers: 18-05958
- Files: TRIS, TRB, ATRI
- Created Date: Mar 20 2018 5:08PM