Contributing Factors to Vehicle to Vehicle Crash Frequency and Severity under Rainfall
This study combined vehicle to vehicle crash frequency and severity estimations to examine factor impacts on Wisconsin highway safety in rainy weather. Because of data deficiency, the real-time water film depth, the car-following distance, and the vertical curve grade were estimated with available data sources and a GIS analysis to capture rainy weather conditions at the crash location and time. Using a negative binomial regression for crash frequency estimation, the average annual daily traffic per lane, the interaction between the posted speed limit change and the existence of an off-ramp, and the interaction between the travel lane number change and the pavement surface material change were found to increase the likelihood of vehicle to vehicle crashes under rainfall. However, more average daily rainfall per month and a wider left shoulder were identified as factors that decrease the likelihood of vehicle to vehicle crashes. In the crash severity estimation using the multinomial logit model that outperformed the ordered logit model, the travel lane number, the interaction between the travel lane number and the slow grade, the deep water film, and the rear-end collision type were more likely to increase the likelihood of injury crashes under rainfall compared with crashes involving only property damage. As an exploratory data analysis, this study provides insight into potential strategies for rainy weather highway safety improvement, specifically, the following weather-sensitive strategies: road design and ITS implementation for drivers' safety awareness under rainfall.
- Record URL:
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1800052
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Jung, Soyoung
- Jang, Kitae
- Yoon, Yoonjin
- Kang, Sanghyeok
- Publication Date: 2014-9
Language
- English
Media Info
- Media Type: Print
- Features: References;
- Pagination: pp 1-10
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Serial:
- Journal of Safety Research
- Volume: 50
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0022-4375
- Serial URL: http://www.sciencedirect.com/science/journal/00224375
Subject/Index Terms
- TRT Terms: Annual average daily traffic; Car following; Crash characteristics; Crash injuries; Crash severity; Geographic information systems; Highway safety; Logits; Off ramps; Rain; Real time information; Road shoulders; Speed limits; Surface course (Pavements); Variable message signs; Weather conditions
- Geographic Terms: Wisconsin
- Subject Areas: Highways; Safety and Human Factors; I81: Accident Statistics; I84: Personal Injuries; I85: Safety Devices used in Transport Infrastructure;
Filing Info
- Accession Number: 01539332
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 26 2014 2:43PM