This Solicitation opportunity from Department Of Transportation was posted on September 25, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Transportation Systems Management and Operations (TSMO) Data Initiative

Closed

693JJ326R000012Federal

Submission Closed10/16/2026, 09:00:00 AM EDT

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715

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Exploratory Advanced Research (EAR) Program FY 2027 Data Science Solicitation

Solicitation # 693JJ3-27-BAA-0002

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693JJ3 Acquisition And Grants Mgt

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about 22 hours ago

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in about 1 month

AI Contract Overview

The Federal Highway Administration, in partnership with the Intelligent Transportation Systems Joint Program Office, is soliciting a Firm-Fixed Price contract for the Transportation Systems Management and Operations (TSMO) Data Initiative. This research and development effort aims to identify and prototype solutions for high-priority data challenges that currently limit the application of artificial intelligence in TSMO. The project focuses on utilizing computational methods such as deep learning, computer vision, large language models, and predictive analytics to improve highway safety, efficiency, and resilience. The scope includes a six-month phase for prioritizing use cases and data challenges, followed by 12 months of prototyping for at least two AI-TSMO use cases. The contract has an estimated value of 750,000 dollars with a base period of performance of 18 months and an optional 6-month extension. Work will be performed at the contractor's facility, and the government will make a best-value award based on a trade-off analysis. Evaluation factors are weighted in descending order of importance: technical capability, corporate experience, technical approach, management approach, past performance, and price, with non-price factors being significantly more important than cost. Proposals are submitted in two phases across three volumes, and the government requires the use of the DELPHI eInvoicing System for payments.

General Info

FHWA seeks a $750,000 AI-TSMO data initiative contract for research and prototyping solutions.

Agency

Department Of Transportation → 693JJ3 Acquisition And Grants Mgt

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Set-Aside

NONE

Documents

amendment

High

q-and-a

High

rfp

High

AI Contract Breakdown

Uniform Contract Format

Timeline

2 updates

PhaseClosed

PostedJun 10

Presolicitation

Type ChangedJul 2

Presolicitation → Solicitation

Notice updatedJul 24

The notice description changed.

Deadline changedSep 25

Response deadline changed from Aug 3, 2026 to Oct 16, 2026.

Response DeadlineOct 16

Deadline has passed

Submission Closed

10/16/2026, 09:00:00 AM EDT

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Organization & Contact Information

AgencyDepartment Of Transportation → 693JJ3 Acquisition And Grants Mgt

Contacts2 people available

OfficeWASHINGTON, DC, 20590, USA

Organization / AgencyDepartment Of Transportation → 693JJ3 Acquisition And Grants Mgt

Office AddressWASHINGTON, DC, 20590, USA

Contacts

Vivian Riboli

contact@example.gov

Amalia Rodezno

contact@example.gov

Full Description

The Federal Highway Administration (FHWA) is soliciting a Firm-Fixed Price Contract for developing Artificial Intelligence (AI) Transportation Systems Management and Operations (TSMO) Data initiative for the Office of Safety and Operations Research (HRSO) and Development in partnership with Intelligent Transportation System Joint Program Office (ITS-JPO) as a full and open competition. The overarching goal of this effort is to identify and prototype the highest-priority solutions to the data-related challenges limiting the application of AI to TSMO.

Please see attachment.

Amendment 1 and the Questions and Responses document are hereby posted for this effort. Please review both documents.