Description

Book Synopsis


Table of Contents
1. Introduction Part 1: THEORY AND BACKBROUND 2. Fundamentals and Data Collection 3. Crash-Frequency Modeling 4. Crash-Severity Modeling Part 2: HIGHWAY SAFETY ANALYSES 5. Exploratory Analysis of Safety Data 6. Cross-sectional and Panel Studies in Safety 7. Before-After Studies in Highway Safety 8. Identification of Hazardous Sites 9. Models for Spatial Data 10. Capacity, Mobility, and Safety Part 3: ALTERNATIVE SAFETY ANALYSES 11. Surrogate Safety Measures 12. Data Mining and Machine Learning Techniques Appendix A. Negative Binomial Regression Models and Estimation Methods B. Summary of Crash-Frequency and Crash-Severity Models in Highway Safety C. Computing Codes D. List of Exercise Data

Highway Safety Analytics and Modeling

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    A Paperback by Dominique Lord, Xiao Qin, Srinivas R. Geedipally

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      Book details

      Publisher Elsevier Science
      Published 2/25/2021 12:00:00 AM
      ISBN-13 9780128168189
      978-0128168189
      ISBN-10 0128168188
      Also in:
      Law Transport law

      Description

      Book Synopsis


      Table of Contents
      1. Introduction Part 1: THEORY AND BACKBROUND 2. Fundamentals and Data Collection 3. Crash-Frequency Modeling 4. Crash-Severity Modeling Part 2: HIGHWAY SAFETY ANALYSES 5. Exploratory Analysis of Safety Data 6. Cross-sectional and Panel Studies in Safety 7. Before-After Studies in Highway Safety 8. Identification of Hazardous Sites 9. Models for Spatial Data 10. Capacity, Mobility, and Safety Part 3: ALTERNATIVE SAFETY ANALYSES 11. Surrogate Safety Measures 12. Data Mining and Machine Learning Techniques Appendix A. Negative Binomial Regression Models and Estimation Methods B. Summary of Crash-Frequency and Crash-Severity Models in Highway Safety C. Computing Codes D. List of Exercise Data

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