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Statistical methods, safety data, analysis, and evaluation 2007

By: Publication details: Washington DC Transportation research record 2019, 2007Description: 264 sISBN:
  • 9780309104463
Subject(s): Bibl.nr: VTI P8167:2019Location: Abstract: This record 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.
Item type: Reports, conferences, monographs
Holdings
Current library Status
Statens väg- och transportforskningsinstitut Available

This record 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.