Variable Categories Influencing Single-Vehicle Run-Off-Road Crashes and Their Severity

Single-vehicle run-off-road (ROR) crashes account for a significant number of all the single-vehicle crashes and all the fatalities in the United States. The variable categories influencing single-vehicle ROR crashes and their severity could be different from other single-vehicle crashes. This paper, therefore, focuses on investigating single-vehicle ROR crashes to identify and compare variable categories influencing their occurrence and severity. A logistic regression model was developed to evaluate and identify variable categories associated with single-vehicle ROR crashes compared to other single-vehicle crashes. The results indicate that variables such as road characteristics (number of lanes, road surface condition, road terrain, functional classification, and geometric condition), weather condition, road lighting condition, vehicle type, and, driver characteristics (driver physical condition, age, and gender) are observed to have a statistically significant influence on the occurrence of single-vehicle ROR crashes. A partial proportionality odds model was developed to evaluate and identify variable categories associated with injury severity of single-vehicle ROR crashes. The results indicate that variables and variable categories such as weather condition (cloudy and rain), speed limit (<= 40.2 kmph [25 mph] and > 88.5 kmph [55 mph]), vehicle type (primarily buses), drivers’ age (<= 18 years), road surface condition (presence of water, ice, snow, and slush), and, mountainous terrain condition are observed to have a statistically significant influence on single-vehicle ROR crash severity.

• Record URL:
  • https://doi.org/10.1016/j.treng.2020.100038
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2666691X20300397
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/2666691X
• Supplemental Notes:
  • © 2020 Venkata R. Duddu et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Duddu, Venkata R
  • Pulugurtha, Srinivas S
  • Kukkapalli, Venu M
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: References; Tables;
• Pagination: 100038
• Serial:
  • Transportation Engineering
  • Volume: 2
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2666-691X
  • Serial URL: https://www.journals.elsevier.com/transportation-engineering/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Crash severity; Drunk driving; Highway factors in crashes; Impaired drivers; Logistic regression analysis; Physiological fatigue; Ran off road crashes; Roadside
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01760951
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 22 2020 9:36AM