Identifying large truck hot spots using crash counts and PDOEs

Vadlamani, Sravani, Chen, Erdong, Ahn, Soyoung and Washington, Simon (2011) Identifying large truck hot spots using crash counts and PDOEs. Journal of Transportation Engineering , 137 1: 11-21. doi:10.1061/(ASCE)TE.1943-5436.0000183

Author Vadlamani, Sravani
Chen, Erdong
Ahn, Soyoung
Washington, Simon
Title Identifying large truck hot spots using crash counts and PDOEs
Journal name Journal of Transportation Engineering    Check publisher's open access policy
ISSN 0733-947X
Publication date 2011-01-01
Sub-type Article (original research)
DOI 10.1061/(ASCE)TE.1943-5436.0000183
Open Access Status Not yet assessed
Volume 137
Issue 1
Start page 11
End page 21
Total pages 11
Place of publication Reston, VA, United States
Publisher American Society of Civil Engineers
Language eng
Abstract Large trucks are involved in a disproportionately small fraction of the total crashes but a disproportionately large fraction of fatal crashes. Large truck crashes often result in significant congestion due to their large physical dimensions and from difficulties in clearing crash scenes. Consequently, preventing large truck crashes is critical to improving highway safety and operations. This study identifies high-risk sites (hot spots) for large truck crashes in Arizona and examines potential risk factors related to the design and operation of the high risk sites. High-risk sites were identified using both state of the practice methods (accident reduction potential using negative binomial regression with long crash histories) and a newly proposed method using property damage only equivalents (PDOE). The hot spots identified via the count model generally exhibited low fatalities and major injuries but large minor injuries and PDOs, while the opposite trend was observed using the PDOE methodology. The hot spots based on the count model exhibited large annual average daily traffic (AADTs), whereas those based on the PDOE showed relatively small AADTs but large fractions of trucks and high posted speed limits. Documented site investigations of hot spots revealed numerous potential risk factors, including weaving activities near freeway junctions and ramps, absence of acceleration lanes near on-ramps, small shoulders to accommodate large trucks, narrow lane widths, inadequate signage, and poor lighting conditions within a tunnel.
Keyword Crash
Crash severity
High-risk sites
Large trucks
Traffic safety
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Civil Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 3 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 07 Mar 2017, 16:25:13 EST by Jeannette Watson on behalf of Learning and Research Services (UQ Library)