Leveraging Artificial Intelligence and Big Data to Enhance Safety Analysis: A Guide
2025

You must be logged in to download this publication.

Select Book Type

Paperback - $22.50

Request an exam or desk copy

The availability of large-scale, high-resolution, and consistently collected road data will improve the safety of all road users. The use of artificial intelligence (AI), machine learning (ML), and big data is key in providing the information needed to power data-driven, public, and proprietary safety analysis tools, as well as predictive and other systemic safety tools.

NCHRP Research Report 1152: Leveraging Artificial Intelligence and Big Data to Enhance Safety Analysis: A Guide, a publication from TRB's National Cooperative Highway Research Program, outlines the limitations of traditional safety evaluations and demonstrates how new data sources— like connected vehicles, LiDAR, video analytics, and edge devices—can enhance safety insights and predictive capabilities. Case studies include successful pilots with the Oregon Department of Transportation, showcasing ML models for inventorying streetlight luminaires to inform crash risk analysis, and the City of Bellevue, WA, analyzing vehicle turning behavior to improve safety at signalized intersections.

Additional materials

Conduct of Research Report
Case Studies
Presentations
Accessible PDF

Publication information

110 pages · 8.5 x 11 · paperback
ISBN Paperback: 0-309-59960-1
ISBN Ebook: 0-309-59961-X
DOI: https://doi.org/10.17226/29098

Suggested citation

National Academies of Sciences, Engineering, and Medicine. 2025. Leveraging Artificial Intelligence and Big Data to Enhance Safety Analysis: A Guide. Washington, DC: The National Academies Press.

Import this citation to:

Bibtext
EndNote
Reference manager

First Name
Last Name
Email (required)
I agree to receive emails from the National Academies (required)

We respect your privacy and will never share your information.

Search this publication

Front Matter i-x
1 Introduction 1-3
2 Traditional Safety Evaluations 4-9
3 How AI, ML, and Big Data Can Improve Safety Evaluations 10-19
4 Applying AI, ML, and Big Data to Safety Analysis 20-38
5 Additional AI, ML, and Big Data Applications 39-93
References and Bibliography 94-95
Abbreviations and Acronyms 96-100

Log In

Former MyNAP users: You'll need to reset your password on your first login to MyAcademies. Click "Forgot password" below to receive a reset link via email. Having trouble? Visit our FAQ page to contact support.

Members of the National Academy of Sciences, National Academy of Engineering, or National Academy of Medicine should log in through their respective Academy portals.

Email (required)
Password (required)

Don't have an account?

Register

Email (required)
New password (required)
Retype password (required) Password must be at least 8 characters
I accept the terms of use
terms of use

Thank You

Thank you for creating a MyAcademies account!

Enjoy free access to thousands of National Academies' publications, a 10% discount off every purchase, and build your personal library.

Forgot Password

Enter the email address for your MyAcademies (formerly MyNAP) account to receive password reset instructions.

Email (required)

Reset Requested

We sent password reset instructions to your email . Follow the link in that email to create a new password. Didn't receive it? Check your spam folder or contact us for assistance.

Reset Password

New password (required)
Retype password (required) Password must be at least 8 characters

Reset Password

Your password has been reset.

Verify email

Verify Your Email Address

We sent a verification link to your email. Please check your inbox (and spam folder) and follow the link to verify your email address. If you did not receive the email, you can request a new verification link below

Leveraging Artificial Intelligence and Big Data to Enhance Safety Analysis: A Guide (2025)

Chapter: References and Bibliography

Additional materials

Publication information

Suggested citation

My Academies

Leveraging Artificial Intelligence and Big Data to Enhance Safety Analysis: A Guide (2025)

Chapter: References and Bibliography