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Highway Safety Analysis Comprehensively: Techniques and Methods for Analyzing Crash Data covers the key elements needed for making effective transportation engineering and policy decisions based on highway crash data analysis. It covers all aspects of the decision-making process, from collecting and assembling data to making decisions based on the results of the analyses. The book discusses the challenges with crash and naturalistic data, identifying problems and proposing best methods to solving them. It examines the nuances associated with crash data analysis, showing how 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, which can be challenging for students and working professionals to use
- Provides examples and case studies for each model and method
- Includes learning aids such as online data, examples and solution 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
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 Data
- No. of pages:
- © Elsevier 2021
- 1st March 2021
- Paperback ISBN:
Dominique Lord is Professor of Civil 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 peer-reviewed journals and presents his work regularly at international conferences.
Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, USA
Xiao Qin is Associate Professor of Civil and Environmental Engineering at the University of Wisconsin-Milwaukee. He has authored more than over 150 journal articles, conference proceedings, and technical reports in highway safety, traffic operations, and GIS applications in transportation. He is Associate Editor of the Journal of Transportation Safety & Security and serves on the editorial board of Accident Analysis and Prevention.
University of Wisconsin‐Milwaukee, Department of Civil and Environmental Engineering, Milwaukee, WI, USA
Srinivas Geedipally is Associate Research Engineer at the Texas A&M Transportation Institute the Center for Transportation Safety. He is widely published in international journals, participates in numerous traffic safety research projects with state and federal governments and international sponsors, and is a key contributor to the Highway Safety Manual.
Texas A&M University, Texas A&M Transportation Institute, College Station, TX, USA
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