Featured Project

Commercial Vehicle – STAC

Designed to support law enforcement, state drivers’ licensing agencies, and universities within the FMCSA Eastern Service Center (ESC)

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Questions or Comments?

We love to talk ‘traffic safety’!
UMassSafe@umass.edu

Highlights

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Six Legislative Initiatives for Improving Roadway Safety

The 2018 Strategic Highway Safety Plan is proposing that Massachusetts consider six high-leverage policies to reduce the frequency and severity of roadway fatalities.

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2019 Commercial Vehicle Safety Summit

The University of Massachusetts Traffic Safety Research Program (UMassSafe), with support from the FMCSA, will be hosting the Commercial Vehicle Safety Summit - Best Practices for Industry & Law Enforcement Partnerships on November 19-20, 2019 in Northampton, Massachusetts.

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Commercial Motor Vehicle Safety Summit - Call for Abstracts

We are currently accepting abstracts in order to select speakers and presenters for the 2019 Commercial Vehicle Safety Summit: Best Practices for Industry and Law Enforcement Partnerships.

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Archive

UMassSafe

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.


Safety Data Warehouse

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Data Warehouse

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.

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