Designed to support law enforcement, state drivers’ licensing agencies, and universities within the FMCSA Eastern Service Center (ESC)
We love to talk ‘traffic safety’!
UMassSafe@umass.edu
The 2024 Northeast CMV Safety Summit, held from November 13-14, 2024 in Springfield, Massachusetts, brought together over 140 CMV safety stakeholders from law enforcement, research, freight and technology industries, and regulatory and licensing agencies. Click here to view the Summit's presentations and results of the attendee feedback survey.
Read More >The Massachusetts Law Enforcement Crash Report E-Manual is a comprehensive and centralized guide and data dictionary to assist with the completion and review of crash reports. Read about the new features recently added here.
Read More >UMassSafe, with support from the Federal Motor Carrier Safety Administration, recently conducted an online survey of large truck operators entitled Understand Driving Attitudes and Behaviors Among CMV Drivers. Learn more here.
Read More >UMassSafe is a multidisciplinary traffic safety research program housed in the University of Massachusetts Transportation Center in the College of Engineering at the University of Massachusetts Amherst. Working for many state and federal agencies, UMassSafe collects and analyzes crash related data, provides online data access, develops training materials and examines data quality challenges within the databases, providing recommendations for improvements.
The UMassSafe Traffic Safety Data Warehouse has been developed as a tool for maximizing the use of highway safety data. The data warehouse includes “administrative” datasets collected by state agencies and other organizations; including crash, citation, roadway inventory, etc. Currently, 12 such datasets are housed in the UMassSafe traffic Safety Data Warehouse, with over 16 years of data available. Additionally, the analysis includes linked datasets created using the aforementioned administrative databases. Crash, citation, ambulance trip, and roadway inventory data have been linked using advanced statistical methodologies to create a single dataset that allows analysts to consider the comprehensive crash experience; including driver behavior, crash characteristics, roadway environment, and crash.