Data for Automated Vehicle Safety

Background

In September 2017, the U.S. Department of Transportation (U.S. DOT) released new federal guidance for Automated Driving Systems (ADS): A Vision for Safety 2.0. A Vision for Safety 2.0 calls for industry, state and local governments, safety and mobility advocates and the public to lay the path for the deployment of automated vehicles and technologies.

Within and across all modes of transportation, data exchanges will be key to accelerating the safe deployment of Automated Vehicles (AVs) in the United States. This includes mutually-beneficial exchange of data between private sector entities, with infrastructure operators, and policy-makers at different levels of government. As part of planning for 3.0, U.S. DOT is working with stakeholders to understand critical use cases for data exchange and the appropriate federal role to enable such exchanges while protecting privacy and proprietary interests.

Data means different things to different people and organizations, which makes it hard to plan and execute data exchanges across traditional silos. U.S. DOT has a unique role to play in helping government and industry stakeholders come together for meaningful conversations around AV-related data exchanges. Having a common framework to plan and execute data exchanges will provide a common language across modes and streamline activities – thus resulting in better policies, reduced costs, and better outcomes, faster.

Roundtable on Data for Automated Vehicle Safety

USDOT hosted a Roundtable on Data for Automated Vehicle Safety in December 2017 to discuss potential priorities for voluntary data exchange to accelerate safe deployment of automated vehicles. See the Summary Report for key takeaways from the roundtable. For information on the AV Data Exchanges, please contact avdx@dot.gov

Draft Guiding Principles

These draft Guiding Principles on Voluntary Data Exchanges to Accelerate Safe Deployment of Automated Vehicles are a first step toward a common framework to plan and execute data exchanges. U.S. DOT will refine these Guiding Principles in the months ahead and use them as part of our engagement with potential data exchange partners.

Principle #1: Promote proactive, data-driven safety, cybersecurity, and privacy-protection practices

U.S. DOT aims to accelerate US deployment of Automated Vehicles by encouraging private sector innovation while ensuring appropriate safeguards for safety, cybersecurity, and privacy. Proactive safety practices identify and mitigate risks before they cause harm. Such practices require timely data and analysis that cut across traditional silos. To develop appropriate system safeguards, the U.S. DOT, local jurisdictions, and industry partners will need multi-modal data from early testing and development efforts to inform investments and policies.

Principle #2: Act as a facilitator to inspire and enable voluntary data exchanges

Industry and government share the objective of bringing safer AVs to market more quickly, and recognize the enabling role of data exchanges. U.S. DOT is uniquely positioned to convene stakeholders around mutually beneficial use cases and common standards. Sometimes, U.S. DOT will need to directly manage data but often our role will be to enable others to exchange data via a range of mechanisms.

Principle #3: Start small to demonstrate value, and scale what works toward a bigger vision

The U.S. DOT and our stakeholders cannot define all data exchange needs and specific requirements upfront and will need to build policies and capabilities iteratively via agile and collaborative methods. We should start small, and focus initially on areas of clearest public-private benefit and the smallest amount of data exchange necessary to answer critical path questions – while keeping in mind long term goals and needs.

Principle #4: Coordinate across modes to reduce costs, reduce industry burden, and accelerate action

Similar types of data exchanges will be needed for similar purposes across all modes of transportation. U.S. DOT’s operating administrations and external stakeholders can learn from each other and share tools and resources to reduce costs and time to deploy capabilities, while improving interoperability. Also, some agencies make duplicative requests for industry information, increasing the cost of partnering with the government. Consolidating and streamlining those requests can reduce costs and increase interest in collaboration.

Updated: Monday, February 26, 2018
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