Temporal Modeling of Highway Crash Severity by Involved Person Age

This project will use leading edge statistical methods to uncover temporal patterns in the severity level (fatal, serious injury, minor injury, slight injury and no injury) for persons involved in highway crashes in Connecticut. Existing State data sources will provide data describing the time and weather conditions for each crash and the vehicles and persons involved over the time period from 1995 to 2008 as well as the traffic volumes and the characteristics of the roads on which these crashes occurred. Controlling for characteristics known to be related to severity, e.g., age, gender, alcohol use, vehicle type, collision type, land use setting (surrogate for prevailing speeds), and road characteristics, temporal analysis and modeling will be used to identify changes in the involvement of elderly drivers (65 years and over) in crashes and the severity level of the crashes in which they are involved. The expected outcomes of the project will be both a robust prediction model for the likelihood of an individual to have a specific severity outcome if he/she is involved in a highway crash, as well as to identify trends in the crash outcomes for senior motor vehicle travelers that point to significant impacts on public health and safety as the elderly become a larger portion of the population.


    • English


    • Status: Active
    • Funding: $140233.00
    • Contract Numbers:



    • Sponsor Organizations:

      Research and Innovative Technology Administration

      Department of Transportation
      1200 New Jersey Avneue, SE
      Washington, DC  United States  20590
    • Principal Investigators:

      Ivan, John

    • Start Date: 20100901
    • Expected Completion Date: 0
    • Actual Completion Date: 20120831
    • Source Data: RiP Project 29321

    Subject/Index Terms

    Filing Info

    • Accession Number: 01480737
    • Record Type: Research project
    • Source Agency: New England University Transportation Center
    • Contract Numbers: DTRT07-G-0001, UCNR23-2
    • Files: UTC, RiP
    • Created Date: May 7 2013 1:01AM