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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Contact Us

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Questions or Comments?

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

Highlights

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Crash Report Guidelines Available

With guidance from the RMV and MSP, and technical assistance from the RMV law enforcement liaison, UMassSafe has created materials to provide guidance to supervisors in reviewing crash reports for completeness, accuracy and uniformity.

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Commercial Vehicle Safety Summit

The 2019 Commercial Vehicle Safety Summit brought together 158 attendees from 86 agencies and organizations involved in truck and bus safety.

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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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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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