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Evaluation of large truck crashes at horizontal curves on two-lane rural highways in Kansas.

Authors :
United States. Department of Transportation. Research and Innovative Technology Administration
United States. Department of Transportation. University Transportation Centers (UTC) Program
Fitzsimmons, Eric J.
Schrock, Steven D.
Lindheimer, Tomas E.
Mid-America Transportation Center
United States. Department of Transportation. Research and Innovative Technology Administration
United States. Department of Transportation. University Transportation Centers (UTC) Program
Fitzsimmons, Eric J.
Schrock, Steven D.
Lindheimer, Tomas E.
Mid-America Transportation Center

Abstract

The objective of this study was to investigate the relationship between roadway and environment-related factors and truck<br />crash severity at horizontal curves located on rural, two-lane state highways in Kansas. Single vehicle truck crashes and<br />multi-vehicle crashes involving at least one truck were extracted from the Kansas Department of Transportation’s crash and<br />roadway databases for the years 2006-2010, resulting in 452 crash records. Descriptive statistics and 95 percent confidence<br />intervals were constructed for an odds ratio analysis comparing single-vehicle truck crashes to multi-vehicle crashes involving<br />at least one truck for the variables that were included in both databases. Overall, the odds ratio analysis indicated that single<br />vehicle truck crashes were less likely to occur on wet pavement with shoulder rumble strips present and during non-adverse<br />weather conditions compared to multi-vehicle crashes involving at least one truck. Single-vehicle truck crashes were also<br />more likely to result in an injury crash compared to multi-vehicle crashes involving at least one truck. The latter were more<br />likely to result in a fatality or property damage only crash.

Details

Database :
OAIster
Notes :
Kansas, PDF, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1047986795
Document Type :
Electronic Resource