Modeling Frequency of Truck Crashes on Limited-Access Highways
Freight can be efficiently transported between most locations in the U.S. using large trucks. Involvement of large trucks in crashes can cause much damage and serious injuries, due to their large sizes and heavy weights. The purpose of this study was to identify the relationships between large truck crashes and traffic and geometric characteristics on limited access highways. Crash and traffic and geometric-related data for Kansas were utilized to develop a Poisson regression model and a negative binomial regression model for understanding the relationships. Based on modelfitting statistics, the negative binomial model was found to be the better model, which was used to identify the important characteristics. By addressing identified factors, safety could be promoted through introduction of appropriate engineering improvements.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10461469
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Supplemental Notes:
- Reprinted with permission of the Transportation Research Forum
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Authors:
- Amarasingha, Niranga
- Dissanayake, Sunanda
- Publication Date: 2013
Language
- English
Media Info
- Media Type: Digital/other
- Features: References; Tables;
- Pagination: pp 123-139
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Serial:
- Journal of the Transportation Research Forum
- Volume: 52
- Issue Number: 3
- Publisher: Transportation Research Forum
- ISSN: 1046-1469
- Serial URL: https://trforum.org/journal-of-the-trf/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Crash rates; Expressways; Highway safety; Regression analysis; Traffic characteristics; Truck crashes
- Geographic Terms: Kansas
- Subject Areas: Freight Transportation; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01520535
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 30 2014 11:31AM