Description
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
Table of Contents
1. IntroductionPart 1: THEORY AND BACKBROUND2. Fundamentals and Data Collection3. Crash-Frequency Modeling4. Crash-Severity ModelingPart 2: HIGHWAY SAFETY ANALYSES5. Exploratory Analysis of Safety Data6. Cross-sectional and Panel Studies in Safety7. Before-After Studies in Highway Safety8. Identification of Hazardous Sites9. Models for Spatial Data10. Capacity, Mobility, and SafetyPart 3: ALTERNATIVE SAFETY ANALYSES11. Surrogate Safety Measures12. Data Mining and Machine Learning TechniquesAppendixA. Negative Binomial Regression Models and Estimation MethodsB. Summary of Crash-Frequency and Crash-Severity Models in Highway SafetyC. Computing CodesD. List of Exercise Data
