Dominique Lord,
Dominique (Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TD, USA) Lord,
Xiao Qin,
Xiao (University of Wisconsin-Milwaukee, Department of Civil and Environmental Engineering, Milwaukee, WI, USA) Qin,
Srinivas Geedipally,
Srinivas R. Geedipally,
Srinivas R. (Texas A&M Transportation Institute, Texas A&M University, Arlington, TX, USA) Geedipally
e.a.
Elsevier Science
e druk, 2021
9780128168189
Highway Safety Analytics and Modeling
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2021
ISBN13: 9780128168189
Rubricering
Juridisch
:
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>1. Introduction</p> <p>Part 1: THEORY AND BACKBROUND<br>2. Fundamentals and Data Collection<br>3. Crash-Frequency Modeling<br>4. Crash-Severity Modeling</p> <p>Part 2: HIGHWAY SAFETY ANALYSES<br>5. Exploratory Analysis of Safety Data<br>6. Cross-sectional and Panel Studies in Safety<br>7. Before-After Studies in Highway Safety<br>8. Identification of Hazardous Sites<br>9. Models for Spatial Data<br>10. Capacity, Mobility, and Safety</p> <p>Part 3: ALTERNATIVE SAFETY ANALYSES<br>11. Surrogate Safety Measures<br>12. Data Mining and Machine Learning Techniques</p> <p>Appendix<br>A. Negative Binomial Regression Models and Estimation Methods<br>B. Summary of Crash-Frequency and Crash-Severity Models in Highway Safety<br>C. Computing Codes<br>D. List of Exercise Data</p>
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