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portada Highway Safety Analytics and Modeling: Techniques and Methods for Analyzing Crash Data
Type
Physical Book
Publisher
Author
Year
2021
Language
English
Pages
500
Format
Paperback
ISBN13
9780128168189
Edition No.
1
Categories

Highway Safety Analytics and Modeling: Techniques and Methods for Analyzing Crash Data

Dominique Lord; Xiao Qin; Srinivas R. Geedipally (Author) · Elsevier · Paperback

Highway Safety Analytics and Modeling: Techniques and Methods for Analyzing Crash Data - Dominique Lord; Xiao Qin; Srinivas R. Geedipally

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Synopsis "Highway Safety Analytics and Modeling: Techniques and Methods for Analyzing Crash Data "

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.

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