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

Highway Safety Analytics and Modeling

1st Edition

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Authors: Dominique Lord Xiao Qin Srinivas R. Geedipally
Paperback ISBN: 9780128168189
Imprint: Elsevier
Published Date: 1st March 2021
Page Count: 360
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Description

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.

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

Appendix B: Summary of Crash-Frequency and Crash-Severity Models in Highway Safety

Appendix C: Computing Codes

Appendix D: List of Exercise Data

Details

No. of pages:
360
Language:
English
Copyright:
© Elsevier 2021
Published:
1st March 2021
Imprint:
Elsevier
Paperback ISBN:
9780128168189

About the Authors

Dominique Lord

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.

Affiliations and Expertise

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

Xiao Qin

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.

Affiliations and Expertise

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

Srinivas R. Geedipally

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.

Affiliations and Expertise

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

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