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Highway Safety Analytics and Modeling
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335 b
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Highway Safety Analytics and Modeling covers the key elements needed for making effective transportation engineering and policy decisions based on highway crash data analysis. It covers all aspects of the decision-making process, from collecting and assembling data to making decisions based on the results of the analyses. The book discusses the challenges with crash and naturalistic data, identifying problems and proposing best methods to solving them. It examines the nuances associated with crash data analysis, showing how 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, which can be challenging for students and working professionals to useProvides examples and case studies for each model and methodIncludes learning aids such as online data, examples and solution to problems
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