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Highway Safety Analytics and Modeling - 1st Edition - ISBN: 9780128168189

Highway Safety Analytics and Modeling

1st Edition

Authors: Dominique Lord Xiao Qin Srinivas R. Geedipally
Paperback ISBN: 9780128168189
Imprint: Elsevier
Published Date: 1st March 2021
Page Count: 500
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Description

Highway Safety Analytics and Modeling 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.

Key Features

  • 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

Readership

Transportation safety researchers, graduate students, engineers, analysts, and designers

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

Details

No. of pages:
500
Language:
English
Copyright:
© Elsevier 2021
Published:
1st March 2021
Imprint:
Elsevier
Paperback ISBN:
9780128168189

About the Authors

Dominique Lord

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.

Affiliations and Expertise

Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, USA

Xiao Qin

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.

Affiliations and Expertise

University of Wisconsin‐Milwaukee, Department of Civil and Environmental Engineering, Milwaukee, WI, USA

Srinivas R. Geedipally

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.

Affiliations and Expertise

Texas A&M University, Texas A&M Transportation Institute, College Station, TX, USA

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