• Skip to primary navigation
  • Skip to main content
Logo

Work Zone Safety Information Clearinghouse

Library of Resources to Improve Roadway Work Zone Safety for All Roadway Users

  • About
  • Newsletter
  • Contact
  • X
  • Facebook
  • LinkedIn

  • Work Zone Data
    • At a Glance
    • National & State Traffic Data
    • Work Zone Traffic Crash Trends and Statistics
    • Worker Fatalities and Injuries at Road Construction Sites
  • Topics of Interest
    • Commercial Motor Vehicle Safety
    • Smart Work Zones
    • Work Zone Safety and MobilityTransportation Management Plans
    • Accommodating Pedestrians
    • Worker Safety and Welfare
    • Project Coordination in Work Zones
  • Training
    • Online Courses
    • FHWA Safety Grant Products
    • Toolboxes
    • Flagger
    • Certification and
      Accreditation
  • Work Zone Devices
  • Laws, Standards & Policies
  • Public Awareness
  • About
  • Events
  • Contact
  • Search

Deep Learning

Deep Learning Detection of Personal Protective Equipment to Maintain Safety Compliance on Construction Sites

Proper use of personal protective equipment (PPE) is key to minimizing injuries from accidents in construction sites. Past research has attempted at identifying PPE from digital images and videos. … [Read more...] about Deep Learning Detection of Personal Protective Equipment to Maintain Safety Compliance on Construction Sites

A Real-Time Automated Approach for Ensuring Proper Use of Personal Protective Equipment (PPE) in Construction Site

Construction sites are one of the most perilous environments where many potential hazards may occur. Even though workers are trained to stay away from potential dangers, there are still many types of … [Read more...] about A Real-Time Automated Approach for Ensuring Proper Use of Personal Protective Equipment (PPE) in Construction Site

Detecting Safety Helmet Wearing on Construction Sites With Bounding-Box Regression and Deep Transfer Learning

Detecting safety helmet wearing in surveillance videos is an essential task for safety management, compliance with regulations, and reducing the death rate from construction industry accidents. … [Read more...] about Detecting Safety Helmet Wearing on Construction Sites With Bounding-Box Regression and Deep Transfer Learning

Automatic Detection of Hardhats Worn by Construction Personnel: A Deep Learning Approach and Benchmark Dataset

Hardhats play an essential role in protecting construction individuals from accidents. However, wearing hardhats is not strictly enforced among workers due to all kinds of reasons. To enhance … [Read more...] about Automatic Detection of Hardhats Worn by Construction Personnel: A Deep Learning Approach and Benchmark Dataset

Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision

Naturalistic driving studies seek to perform the observations of human driver behavior in the variety of environmental conditions necessary to analyze, understand and predict that behavior using … [Read more...] about Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision

A Deep Learning Approach to Predict Severity Levels of Work Zone Crashes

The need for maintaining aging infrastructure and/or expanding road capacity leads to an increasing number of work zones presented on highways. Consequently, many crashes were observed in work zone … [Read more...] about A Deep Learning Approach to Predict Severity Levels of Work Zone Crashes

  • « Go to Previous Page
  • Page 1
  • Page 2
  • Page 3
  • Page 4

Copyright © 2026 American Road & Transportation Builders Association (ARTBA). The National Work Zone Safety Information Clearinghouse is a project of the ARTBA Transportation Development Foundation. It is operated in cooperation with the U.S. Federal Highway Administration and Texas A&M Transportation Institute. | Copyright Statement · Privacy Policy · Disclaimer
American Road and Transportation Builders Association Transportation Development Foundation, American Road and Transportation Builders Association U.S. Department of Transportation Federal Highway Administration Texas A&M Transportation Institute