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Safety Data Initiative

Understanding a challenge helps overcome it. At the U.S. Department of Transportation (DOT), we’re using data to identify safety challenges and find solutions that can save lives. Our Safety Data Initiative (SDI) seeks to advance our ability to:

  • Integrate existing data and new “big data” sources
  • Use advanced data analytics to provide new insights into transportation safety risks
  • Create data visualizations to help policymakers arrive at safety solutions

Our Goal

Our goal is to evolve from retrospective to predictive analysis. Through data integration, analysis, and visualization improvements, we believe DOT will not only advance its understanding of what has happened in the past, but also be able to rapidly identify and address emerging risks so that we can intervene more quickly to save lives.

Why SDI?

Data integration and analysis is essential to understanding transportation safety challenges and devising policies that can help reduce the tens of thousands of fatalities that occur on U.S. roads each year. Today, DOT faces challenges integrating existing data sources from across DOT and other sources.  DOT is innovating and breaking new ground by taking advantage of new technologies to improve data integration, using advanced analytics to provide new insights into transportation safety challenges, and using this information to take actions to save lives.

SDI in 2020

DOT is working with state and local governments and other stakeholders to apply new data integration and analysis techniques, test new tools developed by DOT, and share lessons learned and best practices to advance transportation safety practice and ultimately save lives. The State and Local Government Data Analysis Tools for Roadway Safety Notice of Funding Opportunity and Conducting Innovative, Applied Research to Gain New Roadway Safety Insights and Tools - Broad Agency Announcement have been announced. 

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. Link to announcement page.

Conducting Innovative, Applied Research to Gain New Roadway Safety Insights and Tools  Broad Agency 

The intent of the BAA is to explore approaches that use new data sources and/or data unavailable to the USDOT to gain novel, useable, and actionable insights to answer the most pressing and persistent surface transportation safety problems and improve safety outcomes. 


Safety Data Initiative Projects

Since the inception of the Safety Data Initiative (SDI), the Department of Transportation (DOT) has worked on several pilot projects that explore the possibilities of using data for safety applications. This page provides information about these projects. Click here to view the team's projects.

Solving for Safety: Visualization Challenge

DOT launched a safety challenge asking participants to come up with innovative ways to visualize data that will reveal insights into serious crashes on our roads and rail systems while improving our understanding of transportation safety. For more information, visit the Solving for Safety Submissions page or read the press release announcing the winner

Safety Data Forum

DOT has convened two Safety Data Forums to engage diverse groups of stakeholders in discussion about opportunities to leverage data analytics tools to predict and prevent transportation fatalities and injuries. The forums have been attended by representatives of data and technology firms, universities, national safety organizations, and all levels of government. For more information, visit the 2018 Safety Data Forum page and the 2019 Safety Data Forum page.

Secure Data Commons

Waze data received by DOT is controlled and administered through DOT's Secure Data Commons (SDC) Portal, a cloud-based analytic sandbox. This portal provides immediate, secure access for approved researchers to review Waze pilot data, conduct analysis within the sandbox through a cloud-based workstation. The SDC allows for researchers to share code and results with others within and outside the system. For more information, visit the Secure Data Commons.

Supporting Activities

Pre-Solicitation Webinars

The U.S. Department of Transportation (DOT) held two webinars on Wednesday, July 10, 2019 to share information about two anticipated procurements as part of the next phase of the SDI. The webinar materials are available here:

  • Pre-Solicitation Webinar for Conducting Innovative, Applied Research to Gain New Roadway Safety Insights and Tools
  • Pre-Solicitation Webinar for State and Local Government Use of Roadway Safety Tools for Policy and Decision Making

DOT is committed to ensuring that information is available in appropriate alternative formats to meet the requirements of persons who have a disability. If you require an alternative version of the webinar recordings provided on this page, please contact

Request for Information

DOT issued a request for information (RFI) intended to inform the Office of the Secretary of Transportation on the current status of industry sources, business practices, technical capacity, and operational capability related to data integration, data analysis, and data visualization that could be leveraged to further DOT’s capabilities to use safety-related data to better inform policy and decision making for multimodal surface transportation safety. The due date for submission of responses to the RFI was December 7, 2018 at 2 pm Eastern Time. Follow this link to read the RFI.

On November 15, 2018, DOT hosted a webinar for potential respondents to the RFI. The webinar recording is available through Adobe Connect hereslides are available here, and transcript is available here. Did you miss the RFI but are interested in future opportunities? Email us at

Safety Factoids