Statistical methods, safety data, analysis and evaluation 2007. A peer-reviewed publication of the Transportation Research Board TRB.

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Abstract

TRB’s Transportation Research Record: Journal of the Transportation Research Board, No. 2019 includes 30 papers that explore modeling crash frequency by severity, time series analysis of road risk, crash data analysis using bootstrapped maximum likelihood method, time series analysis of the effect of holidays on daily traffic counts, regression-to-mean effect in traffic safety evaluation, roundabouts, and the safety impact of improved signal visibility. This issue of the TRR also examines automated analysis of road safety with video data, route safety assessment, crash prediction models, innovative time series analysis of road marking retroreflectivity and crashes, prediction of fatality rates, safety index of two-lane rural highways, safety planning study of urban freeways, signalized intersection right-angle crashes, and the impact of active speed limiters. In addition, this issue reviews the identification of intersections for red light cameras, animal-vehicle collisions, reliability of road safety estimates, estimating safety benefits of shoulder rumble strips, identifying sites with specific accident types, safety prediction models, the safety effectiveness of changes in shoulder width, relationships between crash involvement and temporal-spatial driving behavior activity patterns, and digitizing information on crash locations. (Author/publisher)

Publication

Library number
C 41894 S [electronic version only] /80 / ITRD E840357
Source

Washington, D.C., National Research Council NRC, Transportation Research Board TRB / National Academy Press, 2007, IX + 264 p., ref.; Transportation Research Record TRR ; No. 2019 - ISSN 0361-1981 / ISBN 978-0-309-10446-3

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.