Highway Safety Analytics and Modeling (ePub)

Name: Highway Safety Analytics and Modeling
Brand: Elsevier Science & Techn.
SKU: 138148969
Price: 133.90 CHF
Availability: OnlineOnly

(Sprache: Englisch)

Autoren: Dominique Lord , Xiao Qin , Srinivas R. Geedipally

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Highway Safety Analytics and Modeling, Dominique Lord, Xiao Qin, Srinivas R. Geedipally

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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...

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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

Autoren-Porträt von Dominique Lord, Xiao Qin, Srinivas R. Geedipally

Dominique Lord is a Professor and A.P. and Florence Wiley Faculty Fellow in the Zachry Department of Civil and Environmental Engineering at Texas A&M University. His highway safety research has led to the development of new and innovative methodologies for analyzing crash data and has been used by researchers across the world in medicine, accounting, mathematics, statistics, biology, and engineering. He's been published extensively in peer-reviewed journals and presents his work regularly at international conferences. He is the recipient of numerous university, national and international awards.

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Bibliographische Angaben

Autoren: Dominique Lord , Xiao Qin , Srinivas R. Geedipally
2021, 500 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128168196
ISBN-13: 9780128168196
Erscheinungsdatum: 27.02.2021

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Dateiformat: ePub
Grösse: 33 MB
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Englisch

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