Tag: Transportation Research Board

  • January 24th, 2024

Highway IDEA is one of three IDEA programs managed by the Transportation Research Board (TRB) to foster innovation in highway and intermodal surface transportation systems. Highway IDEA nurtures new concepts for technologies, methods, and processes for application to highway systems in broad technical areas such as highway design and construction, materials, operations, and maintenance. Read […]

  • April 24th, 2023

2023 TRB Annual Meeting Overview This report details Caltrans staff participation at the 2023 Transportation Research Board (TRB) Annual Meeting held January 8 – 12, 2023. Caltrans was able to send 31 delegates representing 16 different Districts/Divisions/Programs within the Department to Washington D.C for this significant meeting. The 2023 TRB Annual Meeting program covers all […]

  • January 18th, 2018

The U. S. Department of Transportation said it is launching an initiative that includes two pilot programs to modernize its own data analysis and integrate traditional datasets with new “big data” sources to gain insights into highway safety. “Advances in data science have the potential to transform the department’s approach to safety research and provide […]

  • March 30th, 2016

TRB’s National Cooperative Highway Research Program (NCHRP) Report 788: Guide for Effective Tribal Crash Reporting presents guidance for state agencies and tribal leaders in effective crash reporting. The guidebook reviews the root causes of issues and deficiencies related to tribal crash reporting and highlights best practices, success stories, lessons learned published literature and data from […]

  • July 5th, 1990

This article describes the CORRECT (Cost/Benefit Optimization for the Reduction of Roadway Environment Caused Tragedies) system which has been used by the Alabama Highway Department Accident Identification and Surveillance Section for over 15 years. In 1988, the system was enhanced by replacing the dynamic programming algorithm of optimization by a branch-and-bound algorithm which is easier […]