- Country: USA
- Summary: Exploratory Advanced Research EAR
- UST Ref No: 127749422
- Deadline: 22 Oct 2025
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: 693JJ3-26-BAA-0002
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- Description:
- This is a synopsis for the Broad Agency Announcement (BAA) that will be issued in October 2025.
The Federal Highway Administration (FHWA) Office of Corporate Research, Technology, and Innovation Management (HRTM) seeks to conduct research activities that could demonstrate the potential viability and impact of novel approaches in highway transportation. The EAR Program supports higher-risk research in areas of emerging advances in science and engineering that could result in dramatic changes in highway transportation safety, mobility, state of good repair, or environmental stewardship.
This request is for a BAA seeking EAR proposals in one topic area—the potential value and use of digital twins applied to critical, national issues in highway transportation. Possible digital twin applications include but are not limited to: 1) construction automation and safety, 2) management of assets including pavements and structures, and 3) active roadside safety systems for pedestrians and other vulnerable road users. - Documents:
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CLICK HERE TO LOGINExploratory Advanced Research EAR - USA Tender
The TRANSPORTATION, DEPARTMENT OF | FEDERAL HIGHWAY ADMINISTRATION, a Government sector organization in USA, has announced a new tender for Exploratory Advanced Research EAR. This tender is published on USARFP under UST Ref No: 127749422 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-10-22.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
