01044920

Component

https://doi.org/10.3141/2019-25

http://scholar.google.com...saud&publication_year=2007

Modern road safety management programs are required to meet a number of objectives within the overall goal of reducing accidents on the road network. One of these objectives is the identification of hazardous locations through network screening. Often screening is focused on specific accident types to be mitigated by specific programs, for example, red light cameras for reducing right-angle accidents at signalized intersections. Recent methods developed for network screening utilize safety performance functions and the empirical Bayes methodology to overcome limitations in existing methods such as ignoring regression to the mean in using accident counts or rates as a ranking measure. These newer methods often are referred to as screening for the potential for safety improvement (PSI). In one version of the PSI method, sites are ranked according to their expected accident frequency; in another, sites are ranked by the expected excess frequency measured as the difference between the expected accident frequency and that expected at similar sites. This study focuses on a relatively untested method that screens for high proportions of specific accident types by using estimates of the probability that a site’s observed proportion of an accident type is truly above a given critical proportion. The impacts on the method of selection for the critical proportion are examined and the efficiency of this method is evaluated by comparing its application with that of the two PSI methods for a data set of stop-controlled intersections. Results indicate that screening for high proportions may be a reasonable alternative where PSI-type approaches are not possible.

01088293

English

pp 212-218

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104463

Print

Figures (2) ; References (7) ; Tables (12)

Crash rates; Crash types; High risk locations; Highway safety; Mathematical models; Network analysis (Planning); Probability; Traffic crashes

Stop controlled intersections

Data and Information Technology; Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure

TRIS, TRB, ATRI

Feb 8 2007 6:52PM

• Analysis of Road Risk by Age and Gender Category: Time Series Approach
• Application of Innovative Time Series Methodology to Relationship Between Retroreflectivity of Pavement Markings and Crashes
• Automated Analysis of Road Safety with Video Data
• Crash or Carcass Data: Critical Definition and Evaluation Choice
• Crash Prediction Models for Intersections on Rural Multilane Highways: Differences by Collision Type
• Estimating Dispersion Parameter of Negative Binomial Distribution for Analysis of Crash Data: Bootstrapped Maximum Likelihood Method
• Estimating Safety Benefits of Shoulder Rumble Strips on Two-Lane Rural Highways in Minnesota: Empirical Bayes Observational Before-and-After Study
• Estimation of Safety Effectiveness of Changes in Shoulder Width with Case Control and Cohort Methods
• Evaluating Impact on Safety of Improved Signal Visibility at Urban Signalized Intersections
• Identification of Intersections with Promise for Red Light Camera Safety Improvement: Application of Generalized Estimating Equations and Empirical Bayes
• Impact of Active Speed Limiters on Traffic Flow and Safety: Simulation-Based Evaluation
• Improving Reliability of Road Safety Estimates Based on High Correlated Accident Counts
• Investigating Effect of Holidays on Daily Traffic Counts: Time Series Approach
• Investigation of Regression-to-Mean Effect in Traffic Safety Evaluation Methodologies
• Long-Term Trends in Public Opinion Following Construction of Roundabouts
• Macrolevel Collision Prediction Models to Enhance Traditional Reactive Road Safety Improvement Programs
• Method for Assessing Safety of Routes in a Road Network
• Multiple-Model Framework for Assessment of Real-Time Crash Risk
• Multivariate Poisson–Lognormal Models for Jointly Modeling Crash Frequency by Severity
• Operational Criteria of Causality for Observational Road Safety Evaluation Studies
• Optimization of Highway Safety and Operation by Using Crash Prediction Models with Accident Modification Factors
• Prediction of Fatality Rates for Comparison Between States
• Relationships Between Crash Involvement and Temporal–Spatial Driving Behavior Activity Patterns: Use of Data for Vehicles with Global Positioning Systems
• Right-Angle Crash Occurrence at Signalized Intersections
• Roundabout In-Service Safety Reviews: Safety Assessment Procedure
• Safety Index for Evaluation of Two-Lane Rural Highways
• Safety Planning Study of Urban Freeways: Proposed Methodology and Review of Case History
• Safety Prediction Models: Proactive Tool for Safety Evaluation in Urban Transportation Planning Applications
• System for Digitizing Information on Wisconsin’s Crash Locations