An Empirical Analysis of Fatality Rates for Large Truck–involved Crashes on Interstate Highways

Few studies have analyzed the impacts of freight movements (large truck) on crash rates. This study explores a novel application of a method to large truck movements, namely the random parameters tobit regression model, by examining crash rates (instead of frequencies) in truckmiles traveled and ton-miles of freight in the United States (US) as continuous censored variables. Using a nationwide crash database, the empirical results illustrate that the random-parameters tobit regression model provides an increase understanding of the factors determining large truck crash rates.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 19p
  • Monograph Title: 3rd International Conference on Road Safety and Simulation

Subject/Index Terms

Filing Info

  • Accession Number: 01504512
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 24 2014 2:29PM