Financial Summary |
|
| Suggested Yearly Contribution: | $10,000.00 |
| Commitment Start Year: | 2027 |
| Commitment End Year: | 2031 |
| 100% SP&R Approval: | Pending Approval |
| Commitments Required: | $100,000.00 |
| Commitments Received: | |
| Estimated Duration Month: | 60 |
| Waiver Requested: | Yes |
Contact Information |
|
| Lead Study Contact(s): | Bob Sheehan |
| robert.sheehan@dot.gov | |
| FHWA Technical Liaison(s): | Bob Sheehan |
| robert.sheehan@dot.gov | |
| Organization | Year | Commitments | Technical Contact Name | Funding Contact Name | Contact Number | Email Address |
|---|
The Federal Highway Administration (FHWA) invites participation in a National AI Transportation Pooled Fund (TPF) study to accelerate the adoption of trustworthy and impactful Artificial Intelligence (AI) technologies across the nation's transportation system. This study will establish a collaborative framework to guide the research, deployment, and governance of AI, ensuring consistency, reliability, and improved safety and mobility nationwide. This initiative is a critical component of the newly proposed FHWA AI Deployment Center of Excellence (AI COE).
Transportation stakeholders are highly interested in AI but face significant challenges regarding interjurisdictional consistency, system reliability, and transferability. Relying on AI innovation at the individual State and local level creates risks of duplicated effort and inconsistent implementation. National leadership is required to research and develop innovations, standards, and guidelines that reduce uncertainty and ensure public-sector needs shape emerging transportation AI solutions.
The National AI TPF study will leverage partner contributions to establish a clear strategic direction. The AI COE and the TPF are designed to support a broad range of surface transportation stakeholders, including:
State Departments of Transportation (DOTs)
Local Agencies / MPOs
Private Sector and Academic Partners
USDOT Surface Transportation Modal Administrations and other Federal Agencies
Tribal Nations
The primary objectives of this pooled fund study are to:
The TPF activities will be governed by a Steering Committee (or Technical Advisory Committee) and focus on accelerating the AI COE's mission.
Advance high priority AI research driven by stakeholder needs
Highlight effective AI governance and oversight models for transportation agencies
Advance technical and implementation resources
Identify data management best practices and benchmark datasets
Showcase procurement resources
Support training and workforce readiness programs
Promote operational requirements and standard practices for national AI testbeds. Specific use cases, and research needs will be driven by the steering committees and 5-year road map created by partner agencies.
Partners are requested to commit $10,000 a year over the five-year period.
*NOTE: The number of state and local participants and funding amounts are for planning purposes and may vary.
No document attached.
General Information |
|
| Solicitation Number: | 1662 |
| Status: | Solicitation posted |
| Date Posted: | Apr 15, 2026 |
| Last Updated: | Apr 15, 2026 |
| Solicitation Expires: | Apr 15, 2027 |
| Lead Organization: | Federal Highway Administration |
Financial Summary |
|
| Suggested Yearly Contribution: | $10,000.00 |
| Commitment Start Year: | 2027 |
| Commitment End Year: | 2031 |
| 100% SP&R Approval: | Pending Approval |
| Commitments Required: | $100,000.00 |
| Commitments Received: | |
Contact Information |
|
| Lead Study Contact(s): | Bob Sheehan |
| robert.sheehan@dot.gov | |
| FHWA Technical Liaison(s): | Bob Sheehan |
| robert.sheehan@dot.gov | |
The Federal Highway Administration (FHWA) invites participation in a National AI Transportation Pooled Fund (TPF) study to accelerate the adoption of trustworthy and impactful Artificial Intelligence (AI) technologies across the nation's transportation system. This study will establish a collaborative framework to guide the research, deployment, and governance of AI, ensuring consistency, reliability, and improved safety and mobility nationwide. This initiative is a critical component of the newly proposed FHWA AI Deployment Center of Excellence (AI COE).
Transportation stakeholders are highly interested in AI but face significant challenges regarding interjurisdictional consistency, system reliability, and transferability. Relying on AI innovation at the individual State and local level creates risks of duplicated effort and inconsistent implementation. National leadership is required to research and develop innovations, standards, and guidelines that reduce uncertainty and ensure public-sector needs shape emerging transportation AI solutions.
The National AI TPF study will leverage partner contributions to establish a clear strategic direction. The AI COE and the TPF are designed to support a broad range of surface transportation stakeholders, including:
State Departments of Transportation (DOTs)
Local Agencies / MPOs
Private Sector and Academic Partners
USDOT Surface Transportation Modal Administrations and other Federal Agencies
Tribal Nations
The primary objectives of this pooled fund study are to:
The TPF activities will be governed by a Steering Committee (or Technical Advisory Committee) and focus on accelerating the AI COE's mission.
Advance high priority AI research driven by stakeholder needs
Highlight effective AI governance and oversight models for transportation agencies
Advance technical and implementation resources
Identify data management best practices and benchmark datasets
Showcase procurement resources
Support training and workforce readiness programs
Promote operational requirements and standard practices for national AI testbeds. Specific use cases, and research needs will be driven by the steering committees and 5-year road map created by partner agencies.
Partners are requested to commit $10,000 a year over the five-year period.
*NOTE: The number of state and local participants and funding amounts are for planning purposes and may vary.