Modeling wrong-way crashes and fatalities on arterials and freeways

Wrong way driving (WWD) research and mitigation measures have primarily focused on limited access facilities. This is most likely due to the higher incidence of fatal WWD crashes with dramatic consequences on freeways, media attention, and a call for innovative solutions to address the problem. While public agencies and published literature address WWD incidence on freeway systems, the crash analyses on non-limited access facilities, i.e., arterial corridors, remains untouched. This research extends previous works and attempts to provide many new perspectives on arterial WWD incidence. In particular, one work showed that while WWD fatalities are more likely to occur on freeways, the likelihood of these crashes is higher on arterials. Hence this work with univariate and multivariate analyses of WWD and non-WWD crashes, and fatal and non-fatal WWD incidents. Results show the impressive negative impacts of alcohol use, driver defect, nighttime and weekend incidence, poor street lighting, low traffic volumes, rural geography, and median and shoulder widths. The objective here is to highlight the need for paying greater attention to WWD crashes on arterial corridors as is done with fatal WWD incidents on freeway systems. It suffices to say that while engineering countermeasures should evolve from the traditional signing and pavement markings to connected vehicle technology applications, there is a clear and compelling need to focus on educational campaigns specifically targeting drunken driving, and enforcement initiatives with an objective to mitigate WWD in the most efficient manner possible.

• Record URL:
  https://doi.org/10.1016/j.iatssr.2017.04.001
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0386111217300043
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03861112
• Supplemental Notes:
  • © 2016 International Association of Traffic and Safety Sciences. Abstract reprinted with permission of Elsevier.
• Authors:
  • Ponnaluri, Raj V
• Publication Date: 2018-4

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 8-17
• Serial:
  • IATSS Research
  • Volume: 42
  • Issue Number: 1
  • Publisher: Elsevier
  • ISSN: 0386-1112
  • Serial URL: http://www.sciencedirect.com/science/journal/03861112
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Arterial highways; Crash causes; Crash characteristics; Crash data; Crash risk forecasting; Fatalities; Freeways; Logistic regression analysis; Maximum likelihood method; Traffic crashes; Wrong way driving
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01670653
• Record Type: Publication
• Files: TRIS
• Created Date: May 29 2018 4:03PM