Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
572179 | Accident Analysis & Prevention | 2015 | 14 Pages |
Abstract
This paper addresses this need by undertaking a systematic literature review to identify current knowledge, challenges, and opportunities, and then conducts a meta-analysis of existing studies to provide a summary impact of traffic characteristics on crash occurrence. Sensitivity analyses were conducted to assess quality, publication bias, and outlier bias of the various studies; and the time intervals used to measure traffic characteristics were also considered. As a result of this comprehensive and systematic review, issues in study designs, traffic and crash data, and model development and validation are discussed. Outcomes of this study are intended to provide researchers focused on real-time crash prediction with greater insight into the modeling of this important but extremely challenging safety issue.
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Authors
Saman Roshandel, Zuduo Zheng, Simon Washington,