Highway Safety Analytics and Modeling Techniques and Methods for Analyzing Crash Data by Dominique Lord

Highway Safety Analytics and Modeling Techniques and Methods for Analyzing Crash Data by Dominique Lord

By: Dominique Lord; Xiao Qin; Srinivas Geedipally

Publisher: Elsevier (S&T)

Print ISBN: 9780128168189, 0128168188

eText ISBN: 9780128168196, 0128168196

Copyright year: 2021

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