- 500 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Highway Safety Analytics and Modeling
About this book
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
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Yes, you can access Highway Safety Analytics and Modeling by Dominique Lord,Xiao Qin,Srinivas R. Geedipally in PDF and/or ePUB format, as well as other popular books in Law & Civil Law. We have over one million books available in our catalogue for you to explore.
Table of contents
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- Chapter 1 Introduction
- I: Theory and background
- II: Highway safety analyses
- III: Alternative safety analyses
- IV. Appendices
- Appendix A. Negative binomial regression models and estimation methods
- Appendix B. Summary of crash-frequency and crash-severity models in highway safety
- Appendix C. Computing codes
- Appendix D. List of exercise datasets
- Index