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.

• Record URL:
  http://onlinepubs.trb.org/onlinepubs/conferences/2011/RSS/2/Islam,M.pdf
• 
• Supplemental Notes:
  • Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
• Corporate Authors:

  Transportation Research Board

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  Washington, DC  United States  20001
• Authors:
  • Islam, Mouyid Bin
  • Hernandez, Salvador
• Conference:
  • 3rd International Conference on Road Safety and Simulation
  • Location: Indianapolis Indiana, United States
  • Date: 2011-9-14 to 2011-9-16
• Publication Date: 2011

Language

• 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

• TRT Terms: Crash data; Crash rates; Fatalities; Freight traffic; Interstate highways; Traffic crashes; Truck crashes; Vehicle miles of travel
• Subject Areas: Freight Transportation; Highways; Safety and Human Factors; I81: Accident Statistics;

Filing Info

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