AI-Driven TSMO Use Case Research and Prioritization

The contract seeks to conduct research focused on identifying high-value data barriers within Transportation Systems Management and Operations and to prioritize artificial intelligence use cases through active stakeholder engagement, comprehensive data gap analysis, and the development of a strategic roadmap. The effort will involve collaboration with key industry and government stakeholders to evaluate current data limitations that hinder efficient TSMO performance and to determine which AI applications offer the greatest potential for improving transportation systems. The research process will center on uncovering actionable insights that bridge existing data deficiencies with innovative AI-driven solutions aimed at enhancing operational efficiency, safety, and decision-making across transportation networks. The subcontract is issued under the NAICS code 541690, indicating it falls within other scientific and technical consulting services, and is sponsored by the Department of Transportation through its 693JJ3 Acquisition and Grants Management office. The solicitation was posted on July 2, 2026, with a formal response deadline of August 3, 2026, placing the procurement in a tight timeline for qualified vendors to submit proposals. Although no specific place of performance or point of contact is listed, the nature of the work implies nationwide collaboration and data collection across multiple transportation jurisdictions. The effort will ultimately deliver a prioritized list of AI use cases aligned with federal transportation goals, serving as a foundation for future investments and implementation initiatives in smart infrastructure and data-driven operational management.