Automated Driving System (ADS) Integration
ADS Integration research focuses on addressing challenges and developing approaches for the safe and efficient integration of Automated Driving Systems into the transportation ecosystem.
Goal
Explore recommended practices to address safe and efficient Automated Driving System (ADS) Integration into the transportation system.
Approach
Address gaps in transportation system oversight and understanding of ADS performance inhibiting safe and efficient ADS integration.
Anticipated Outcomes
Enhance safety and efficiency around AV operations and system user acceptance with national-level consistency.
Near-Term Actions
Develop a deeper understanding of ADS technology capabilities, applications/use cases, and relevant gaps in oversight that affect safe AV operations.
Current Project Highlights
ADS & Traffic Regulations Voluntary Specifications Development Playbook
This project uses the prototype traffic regulation data framework completed in a previous project to advance the conversation about the development of a voluntary data specification for traffic regulations.
Develop Innovative Techniques/Methods-Support Changeable Roadway Testing Environment
This project will evaluate the feasibility of mimicking roadway features that will facilitate depiction of realistic roadway scenarios to all road users that can be easily custom configured or changed to a different scenario without permanently changing basic test facilities roadway configurations.
ADS Integration & Recommended Practices
USDOT aims to establish initial national-level recommended practices for integration of ADS into the transportation system to provide states, localities, automation companies, and other road users with a well-supported, consistent basis for ADS expectations and assurances that operations will be safe and efficient.