Run-off Road Accident Prediction Model for Two-lane Highway
This article describes a recent literature review on run-off-road (ROR) accident prediction models. Road geometry, traffic volume, accidents, roadside hardware, and features data of 31 rural 2-lane highways (total 740 km) was collected to develop ROR accident prediction models. Based on 4 types of statistical distributions, ROR accident frequency, fatality, and injury models were built. Elasticity analysis was conducted to estimate the effect of influential factors such as roadway geometry and truck traffic on these models.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/10020268
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Authors:
- Gao, Hai-long
- Kan, Wei-sheng
- Li, Chang-cheng
- Pang, Chang-le
- Publication Date: 2008-7
Language
- English
Media Info
- Media Type: Print
- Features: References; Tables;
- Pagination: pp 110-115
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Serial:
- Journal of Highway and Transportation Research and Development
- Volume: 3
- Issue Number: 1
- Publisher: Research Institute of Highway, Ministry of Transport
- ISSN: 1002-0268
Subject/Index Terms
- TRT Terms: Crash causes; Highway safety; Ran off road crashes; Roadside hazards; Roadside structures; Traffic crashes; Traffic volume; Two lane highways
- Subject Areas: Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure;
Filing Info
- Accession Number: 01113140
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 21 2008 8:49AM