• 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
  • Join Listserv
  • Contact
  • Twitter
  • 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
    • Transportation Management Plans
    • Accommodating Pedestrians
    • Worker Safety and Welfare
    • Project Coordination in Work Zones
  • Training
    • Flagger
    • Online Courses
    • Toolboxes
    • FHWA Safety Grant Products
    • Certification and
      Accreditation
  • Work Zone Devices
  • Laws, Standards & Policies
    • COVID-19 Guidance
  • Public Awareness
  • Events
  • About
  • Listserv
  • Contact
  • Search

Classification

Identification and Analysis of Misclassified Work-Zone Crashes Using Text Mining Techniques

Work zone safety management and research relies heavily on the quality of work zone crash data. However, it is possible that a police officer may misclassify a crash in structured data due to: … [Read more...] about Identification and Analysis of Misclassified Work-Zone Crashes Using Text Mining Techniques

Complementary Parametric Probit Regression and Nonparametric Classification Tree Modeling Approaches to Analyze Factors Affecting Severity of Work Zone Weather-Related Crashes

Identifying risk factors for road traffic injuries can be considered one of the main priorities of transportation agencies. More than 12,000 fatal work zone crashes were reported between 2000 and … [Read more...] about Complementary Parametric Probit Regression and Nonparametric Classification Tree Modeling Approaches to Analyze Factors Affecting Severity of Work Zone Weather-Related Crashes

A Comparative Study of Machine Learning Classification for Color-Based Safety Vest Detection on Construction-Site Images

Detecting the safety vests is an important foundation for various applications in safety management and productivity measurement. The fluorescent yellow-green color and fluorescent orange-red color of … [Read more...] about A Comparative Study of Machine Learning Classification for Color-Based Safety Vest Detection on Construction-Site Images

Guidance: Hazard Communication and the Globally Harmonized System of Classification and Labeling

This document summarizes available guidance on the revised Hazard Communication Standard, known as HCS 2012, that aligns with the United Nations' Globally Harmonized System of Classification and … [Read more...] about Guidance: Hazard Communication and the Globally Harmonized System of Classification and Labeling

Classification and Regression Tree Approach for Predicting Drivers’ Merging Behavior in Short-Term Work Zone Merging Areas

This study aims to use the classification and regression tree (CART) approach, one of the most powerful data mining techniques, to predict drivers’ merging behavior in a work zone merging area. On the … [Read more...] about Classification and Regression Tree Approach for Predicting Drivers’ Merging Behavior in Short-Term Work Zone Merging Areas

A Case Study in Spatial Misclassification of Work Zone Crashes

Studies associated with work zone crashes are often based on law enforcement traffic crash reports. Work zone crashes are typically segregated from the larger crash data set by special coding on … [Read more...] about A Case Study in Spatial Misclassification of Work Zone Crashes

Copyright © 2023 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