Cooperative Driving Automation (CDA) Small-Scale Industry Prototype

UPDATE: On August 24, 2026 a Broad Agency Announcement (BAA) amendment was issued, see amended BAA in the attachments section titled "693JJ3-26-BAA-0005_A00001_CDA Prototype". Additionally, the complete Q&A was posted as a PDF titled "Q A - Complete". Note that the due date for proposals was extended. BACKGROUND: USDOT envisions a future transportation ecosystem where CDA complements both human-driven and automated vehicles to improve roadway safety, mobility, and operational efficiency. While standalone vehicle automation has advanced, it continues to struggle with complex edge cases such as occlusion, complex merging, or identifying pedestrians hidden behind buildings at corners, and vehicle sensors alone cannot adequately resolve these issues. Prior USDOT-supported research projects have successfully demonstrated the technical proof-of-concept at technology readiness levels (TRL) of 3-5 for CDA applications in laboratory and closed environments. However, most new vehicles are not equipped with CDA capabilities and Original Equipment Manufacturers (OEMs) remain reluctant to integrate these technologies into production lines due to a lack of consumer awareness and unclear regulatory, policy, and institutional frameworks. This acquisition seeks to build on foundational CDA research by bridging the gap between research concepts and commercial viability. There is a critical need to develop and test pre-production, industry-led prototypes at a TRL of 6-7, to validate that the data shared between vehicles and roadside infrastructure is accurate, secure, and reliable enough to support functional safety. By demonstrating CDA technologies in operational conditions, researchers will gain a better understanding of cooperative systems and if they are more valuable in terms of improving roadway safety, than standalone automation or vehicle-to-everything (V2X) technologies alone. PURPOSE: The purpose of this requirement is to demonstrate industry-led CDA prototypes in...