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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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Save the Date: 2024 Northeast Commercial Vehicle Safety Summit

UMassSafe, with support from the Federal Motor Carrier Safety Administration, is proud to announce the 2024 Northeast Commercial Vehicle Safety Summit - Preventing Commercial Vehicle Crashes through University & Law Enforcement Partnerships

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CV-STAC Webinar: Commercial Motor Vehicle Driver Distraction

UMassSafe, through their Commercial Safety Technical Assistance Center (CV-STAC), will be hosting a webinar on Commercial Motor Vehicle (CMV) Driver Distraction. Click here to learn more.

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Updated Features for the Massachusetts Law Enforcement Crash Report E-Manual

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.

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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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