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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
Transportation safety researchers, graduate students, engineers, analysts, and designers
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
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
- No. of pages:
- © Elsevier 2021
- 25th February 2021
- Paperback ISBN:
- eBook ISBN:
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.
Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, USA
Xiao Qin is a Professor of Civil and Environmental Engineering, the Director of the University of Wisconsin-Milwaukee's Institute for Physical Infrastructure and Transportation (IPIT), and a licensed professional engineer in Civil Engineering. He chairs the Transportation Research Board (TRB) ACS20(1) Subcommittee on Safety Analytical Methods. He is the Editor of Transportation Research Record and Journal of Transportation Safety & Security, and an Advisory Board Member of Accident Analysis and Prevention. He has authored numerous journal articles, conference papers, and technical reports in highway safety and traffic operations, and a recipient of many best paper awards.
University of Wisconsin‐Milwaukee, Department of Civil and Environmental Engineering, Milwaukee, WI, USA
Srinivas R. Geedipally is a Research Engineer in the Center for Transportation Safety at Texas A&M Transportation (TTI) and a registered Professional Engineer in the state of Texas. He received his doctorate from Texas A&M University and has been with TTI since 2005. He has participated in numerous traffic safety research projects with state and federal governments and international sponsors. Dr. Geedipally is an Advisory Board Member of Analytic Methods in Accident Research and has numerous papers published in high-standard international journals and conferences. He has been a key contributor in the development of the Highway Safety Manual, a two-time recipient of the Young Researcher Award, and a Fred Burggraf award winner from the Transportation Research Board.
Texas A&M University, Texas A&M Transportation Institute, College Station, TX, USA
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