Highway Safety Analytics and Modeling.

Format:

Book

Author/Creator:

Lord, Dominique.

Contributor:

Lord, Dominique

Qin, Xiao

Geedipally, Srinivas R.

Language:

English

Subjects (All):

Traffic safety.

Physical Description:

1 online resource

Edition:

2nd ed.

Place of Publication:

Chantilly : Elsevier, 2026.

Summary:

"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. Key features: Complements the Highway Safety Manual published 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 solution to problems"--Back cover.

Contents:

Fundamentals and data collection

Crash

frequency modeling

Crash-severity modeling

Exploratory analyses of safety data

Cross-sectional and panel studies in safety

Before

after studies in highway safety

Identification of hazardous sites

Models for spatial data

Capacity, mobility, and safety

Surrogate safety measures

Data mining and machine learning techniques

Appendix A: Negative binomial regression models and estimation methods

Appendix B: Summary of crash-frequency and crash-severity

Appendix C: Computing codes

Appendix D: List of exercise datasets.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-443-30027-5

0-443-30026-7

0-12-816819-6

0-12-816818-8

OCLC:

1574116479