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
We are proud to announce the third Commercial Vehicle Safety Summit: Preventing Truck & Bus Crashes Using Advanced Technologies for the Eastern Service Center.
Read More >On March 25, UMassSafe and Lt. Michael Sonia hosted an informational webinar on the Law Enforcement Crash Report Review Guidelines.
Read More >T-Force Analytics provides a suite of advanced crash and inspection data tools for addressing Massachusetts commercial motor vehicle safety with the intent of assisting users (law enforcement and state drivers licensing agencies) in implementing programmatic safety efforts, as well as specific regional programming by troop, barracks and high crash corridors.
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.