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Technology

Rural Speed Safety Pilot Project

 

Overview

Current crash prediction methods, such as those in the first edition of the Highway Safety Manual (HSM) use traffic volume data along with geometric characteristics to predict the annual average crash frequency of roadway segments and intersections. One limitation of the HSM is the omission of speed-related factors from all aspects of safety predictive methods. Recent research has made little substantive progress in incorporating speed-related factors into crash...

State and Local Government Data Analysis Tools for Roadway Safety - Notice of Funding Opportunity

 
In November 2019, USDOT released a NOFO titled “State and Local Government Data Analysis Tools for Roadway Safety ,” which focused on building the capacity of State, local, and tribal governments to use innovative data tools and information to improve roadway safety. The NOFO made available over $3 million for up to 12 awards. Eligible applicants included State or local governments, metropolitan planning organizations (MPO) and regional governments, other political subdivisions of a...

U.S. Transportation Secretary Elaine L. Chao Celebrates Groundbreaking of New John A. Volpe National Transportation Systems Center

Innovative Land Swap Includes GSA, MIT, City of Cambridge CAMBRIDGE, MA – U.S. Transportation Secretary Elaine L. Chao today celebrated the official groundbreaking of the new U.S. Department of Transportation (USDOT) John A. Volpe Transportation Systems Center in Cambridge, Massachusetts. Secretary Chao was joined by Massachusetts Governor Charlie Baker, Cambridge Mayor Marc McGovern, U.S. General Services Administration (GSA) Chief of Staff Robert Borden, U.S. Senator Edward Markey...

SDI Waze Project Summary Documents

The U.S. DOT Safety Data Initiative (SDI) aims to leverage and integrate datasets, and use advanced analytical tools and compelling visualizations to provide new insights to identify and address surface transportation safety risks. Crowdsourced mobile applications from the private sector—such as Waze—offer real-time and historical data about roadway conditions, including user-reported crashes. Funded by the SDI, Volpe Center researchers are integrating these new data sources with other...

AV 3.0 Roll Out

Remarks as Prepared for Delivery ByU.S. Secretary of Transportation Elaine L. ChaoAV 3.0 Roll OutDOT HeadquartersWashington, DCThursday, October 4, 2018Thank you, Derek [Kan] for that introduction.I am pleased to be here to announce the next step in the Department’s automated vehicle guidance.  Today the Department is releasing Preparing for the Future of Transportation: Automated Vehicles 3.0 (AV 3.0).  This document supports the safe, reliable, and cost-...

U.S. Department of Transportation Releases “Preparing for the Future of Transportation: Automated Vehicles 3.0”

The first joint, multi-modal guidance document for on-road surface transportation automationWASHINGTON – The U.S. Department of Transportation (USDOT) today released new Federal guidance for automated vehicles, advancing its commitment to supporting the safe integration of automation into the broad multimodal surface transportation system. ‘Preparing for the Future of Transportation: Automated Vehicles 3.0’ (AV 3.0) builds upon—but does not replace—voluntary guidance provided in ‘...