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Statistical Methods, Safety Data, Analysis, and Evaluation 2007

Last Modified Date: 2/22/2008

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.

Individual TRRs, which are published on an irregular basis throughout the year, consist of collections of peer-reviewed papers on specific transportation subject areas and modes.  TRB's TRR Online service allows all visitors to identify papers of interest and review abstracts of those papers.  Access to the full papers is available to service subscribers and employees of TRB sponsors.  Papers may also be purchased on an individual basis.

Printed copies of TRR Journals may also be purchased on an annual subscription basis.  Each year, TRB publishes approximately 45 volumes of the TRR Journal, containing more than 800 papers grouped by subject.



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