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.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ANB70 Standing Committee on Truck and Bus Safety.
  • Authors:
    • Eustace, Deogratias
    • Alqahtani, Thaar
    • Hovey, Peter W
  • Conference:
  • Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 14p

Subject/Index Terms

Filing Info

  • Accession Number: 01663060
  • Record Type: Publication
  • Report/Paper Numbers: 18-05958
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 20 2018 5:08PM