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Current Data Available

The USDOT Secure Data Commons (SDC) platform features datasets for the following projects - check back soon as new projects (datasets) are added:

Waze icon

Waze for Cities Program

CVP icon

Connected Vehicle Pilot Deployment Program

FRA ARDS

Federal Railway Administration Agile RSIS Data Science Program

OSS4ITS logo

Open Source Software for Intelligent Transportation Systems


Waze for Cities Program

The U.S. Department of Transportation's (USDOT) Safety Data Initiative (SDI) is a cross-cutting, collaborative effort within DOT, led by the Office of the Secretary of Transportation. The intent of SDI is to build on and enhance safety efforts related to data, analysis, and policy making. SDI is integrating Waze data with transportation data to develop rapid crash indicators.


Connected Vehicle Pilot Deployment Program

USDOT awarded cooperative agreements (collectively worth more than $45 million) to three pilot sites - in New York City,  Tampa, and Wyoming - to implement a suite of connected vehicle applications and technologies tailored to meet the unique transportation needs of each site's region. The SDC is a repository for select data generated by the deployments to support independent evaluations of the connected vehicle pilots. Test data from the New York City and Wyoming pilots are available in the SDC.


Federal Railway Administration (FRA) Agile Railroad Data Science Programs (ARDS)

The FRA allows approved users to access the following data in ARDS. Please note more datasets will be added over time.

  • The Positive Train Control (PTC) program oversees the implementation and operation of PTC. The primary PTC datasets contain information covering which tracks operate PTC and the performance of the PTC systems. There are also datasets complementary to the PTC datasets.
  • The Railroad Accident/Incident datasets contain reportable rail equipment accident/incident, grade crossing incident, casualty and operational data.
  • The Highway-Rail Grade Crossing Inventory data contains characteristics and other data for all open and closed, public and private highway-rail grade crossings.
  • The Activation Failure and False Proceed Failure datasets contains information on highway-rail grade crossing activation and false proceed failures.

Open Source Software for Intelligent Transportation Systems (OSS4ITS)

USDOT has a number of development projects underway that are using Agile Development practices to create open-source software with robust Communities of Practice. These include, but are not limited to, the Secure Data Commons (SDC), the Operational Data Environment (ODE), CARMA, and the V2X Hub. Each of these projects support different parts of an overall ITS deployment architecture and are managed separately, with individual development teams. OSS4ITS is an ecosystem that promotes the deployment of interoperable transportation systems. 

August 2021