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DominiqueLord,XiaoQin,Srinivas R.Geedipally

Highway Safety Analytics and Modeling

Highway Safety Analytics and Modeling

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Highway Safety Analytics and Modeling is a comprehensive guide to making effective transportation engineering and policy decisions based on highway safety data analysis. It covers the decision-making process, challenges of working with crash and naturalistic data, and examines how to best use the information to develop countermeasures, policies, and programs to reduce traffic crashes.

Format: Paperback / softback
Length: 500 pages
Publication date: 25 February 2021
Publisher: Elsevier Science Publishing Co Inc


Highway Safety Analytics and Modeling is a comprehensive guide that delves into the essential elements required for making informed transportation engineering and policy decisions based on comprehensive highway safety data analysis. This invaluable resource encompasses all aspects of the decision-making process, from the meticulous collection and assembly of data to the development of robust models and the rigorous evaluation of analysis results. It addresses the challenges posed by working with crash and naturalistic data, identifies key problems, and presents well-researched methodologies to overcome them. Furthermore, the book explores the intricacies of safety data analysis, offering valuable insights on how to effectively utilize this information to develop effective countermeasures, policies, and programs aimed at reducing the frequency and severity of traffic crashes. By providing a comprehensive and systematic approach, Highway Safety Analytics and Modeling equips professionals and stakeholders with the tools they need to make data-driven decisions that prioritize road safety and improve the overall transportation system.

Weight: 828g
Dimension: 153 x 231 x 28 (mm)
ISBN-13: 9780128168189

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