Impact of real-time traffic characteristics on freeway crash occurrence: Systematic review and meta-analysis

Roshandel, Saman, Zheng, Zuduo, & Washington, Simon (2015) Impact of real-time traffic characteristics on freeway crash occurrence: Systematic review and meta-analysis. Accident Analysis & Prevention, 79, pp. 198-211.

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The development of methods for real-time crash prediction as a function of current or recent traffic and roadway conditions is gaining increasing attention in the literature. Numerous studies have modeled the relationships between traffic characteristics and crash occurrence, and significant progress has been made. Given the accumulated evidence on this topic and the lack of an articulate summary of research status, challenges, and opportunities, there is an urgent need to scientifically review these studies and to synthesize the existing state-of-the-art knowledge.

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.

Impact and interest:

6 citations in Scopus
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7 citations in Web of Science®

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ID Code: 83119
Item Type: Journal Article
Refereed: Yes
Keywords: Crash prediction, Traffic characteristics, Road safety, Systematic review, Meta-analysis
DOI: 10.1016/j.aap.2015.03.013
ISSN: 1879-2057
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 Elsevier B.V.
Copyright Statement: This is the author’s version of a work that was accepted for publication in Accident Analysis & Prevention. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Accident Analysis & Prevention, [VOL 79, 2015] DOI: 10.1016/j.aap.2015.03.013
Deposited On: 07 Apr 2015 03:21
Last Modified: 17 May 2015 08:15

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