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FAQ - Safety Data Initiative Category A SDI Beta Safety Tools

 Real Time Crash Visualization

Can real-time transportation flow data from entities such as Waze and HERE be used with this tool?

Yes, the platform is designed to accommodate additional data and adapt them to suite specific information needs. The platform has used real-time data such as HERE in the past.


2-STEP Model

Does the 2-Step tool use Gmap library?

Updated: Friday, December 13, 2019

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 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.

AV 3.0 Roll Out

Remarks as Prepared for Delivery By
U.S. Secretary of Transportation Elaine L. Chao
AV 3.0 Roll Out
DOT Headquarters
Washington, DC
Thursday, October 4, 2018

Thank you, Derek [Kan] for that introduction.

Updated: Wednesday, October 10, 2018

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 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.’

Updated: Thursday, October 4, 2018

Drivers Be Aware:  It’s Back-to-School Time

It is back-to-school time in the U.S., which means 50 million more reasons drivers should concentrate on driving safely -- especially around schools, school buses, bus stops, crosswalks and bicycles.   About 50 million students attend America’s public elementary and secondary schools.  Over 35 million are in prekindergarten through 8th grade.  Most have been on summer break and will be heading back to school in the coming weeks.  Kids will be commuting to school on foot, by bicycle and by school bus or private vehicles. 

Updated: Monday, October 28, 2019

USDOT Announces Safety Data Initiative, Pilot Programs to Apply Innovative Analysis to Transportation Safety

Multi-dimensional models of the transportation system will provide insights that will help improve safety on our highways

WASHINGTON – The U. S. Department of Transportation (USDOT) is launching a multi-modal initiative, including two pilot programs to modernize its data analysis and integrate its traditional datasets with new “big data” sources to gain insights into transportation safety. 

Updated: Monday, January 8, 2018
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