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Asset Management Digital Twin Development

Active
Federal

Contract Overview

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

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This subcontract under the Department of Transportation involves the development of Asset Management Digital Twin applications designed to monitor and predict the lifecycle of highway pavements and bridges for FHWA Exploratory Advanced Research projects. The scope of work includes the creation of high-fidelity 3D models, structural health monitoring systems, and predictive maintenance algorithms utilizing cloud computing and BIM software. All deliverables must adhere to ISO 19650 and AASHTO standards, resulting in a comprehensive software platform and predictive asset models. The project is categorized under NAICS code 541511 and is managed by the 693JJ Acquisition And Grants Mgt office. Performance of the contract is centered in McLean, Virginia. The agreement was posted on November 19, 2025, with a response deadline set for November 18, 2030.

General Info

DOT subcontract for Asset Management Digital Twin applications for highway and bridge monitoring.

NAICS

541511 - Custom Computer Programming Services

Place of Performance

Mc Lean, VA, 22101, USA

Set-Aside

NONE

Documents

This scope was carved out of 693JJ3-26-BAA-0002.

The full solicitation package (4 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Exploratory Advanced Research (EAR) Program Broad Agency Announcement (BAA)

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Organization & Contact Information

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AgencyDepartment Of Transportation → 693JJ3 Acquisition And Grants Mgt
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops Digital Twin applications to monitor and predict the lifecycle of highway pavements and bridges for prime contractors on FHWA Exploratory Advanced Research projects. Creates 3D high-fidelity models, predictive maintenance algorithms, and structural health monitoring systems using BIM software and cloud computing. Follows ISO 19650 and AASHTO standards. Delivers a software platform and predictive asset models.

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