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Traffic Safety applies the methods of science to better understand one of the world's major problems -- harm in road traffic.
Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. Complements the Highway Safety Manual by the American Association of State Highway and Transportation Officials Provides examples and case studies for most models and methods Includes learning aids such as online data, examples and solutions to problems

NHTSA

United States. National Highway Traffic Safety Administration

Published: 1976

Total Pages: 16


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Provides information that can help police leaders be more knowledgeable about the resources available for an effective traffic enforcement program.
Explains that the static stability factor is an indicator of a vehicle's propensity to roll over, and that US government ratings for vehicles do not reflect differences in rollover resistance. This report states that the 5-star system should allow discrimination among vehicles and incorporate results from road tests that measure vehicle control.