Innovative Land Swap Includes GSA, MIT, City of Cambridge
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 traffic and roadway information to assess potential safety applications. In the first phase of the project, we found that state-wide crash models based on integrated Waze, traffic volume, census, and weather data give reliable hourly estimates of police-reportable crashes in 1-mile area grids at a 1-hour time scale. In the second phase, the team focused on pilot projects testing state and local safety applications of Waze data.
Remarks as Prepared for Delivery By
U.S. Secretary of Transportation Elaine L. Chao
AV 3.0 Roll Out
Thursday, October 4, 2018
Thank you, Derek [Kan] for that introduction.
The first joint, multi-modal guidance document for on-road surface transportation automation
WASHINGTON – 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 ‘Automated Driving Systems 2.0: A Vision for Safety.’
Fact Sheet for the 2016 FHWA Advanced Transportation and Congestion Management Technologies Deployment Program.