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Automated Roadway Data Collection & Imagery

Active

State & Local

Response Deadline10/15/2026, 07:00:00 PM UTC

Contract Overview

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

AI Contract Overview

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This subcontract for the City of Suffolk involves the automated collection of roadway condition and asset inventory data to support prime contractors on local roadway projects. The selected provider will utilize vehicle-mounted sensors, high-resolution cameras, LiDAR, and laser profilometers to capture detailed imagery and geospatial information, ensuring all data collection adheres to strict QA/QC procedures. The final deliverables consist of comprehensive roadway imagery and a georeferenced roadway condition dataset. The project falls under NAICS code 541370 and is located in Suffolk, Virginia. Interested parties must submit their responses by October 15, 2026, following the solicitation posted on September 15, 2026.

General Info

Suffolk, Virginia subcontract for automated roadway data collection; responses due October 15, 2026.

Agency

Virginia → City of SuffolkView Agency

NAICS

541370 - Surveying and Mapping (except Geophysical) ServicesView NAICS

Place of Performance

Suffolk, VA, USA

Set-Aside

NONE

Documents

This scope was carved out of 27019-AG.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Pavement Asset Inventory & Pavement Management Solutions

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Timeline

PostedSep 15

subcontract

Response DeadlineOct 15

Submission deadline

Response Deadline

10/15/2026, 07:00:00 PM UTCin 30 days

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Organization & Contact Information

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AgencyVirginia → City of Suffolk

ContactsNo contacts available

OfficeN/A

Organization / Agency

Virginia → City of Suffolk

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Office AddressN/A

ContactsNo contact information available

Full Description

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Performs automated collection of roadway condition and asset inventory data for prime contractors on City of Suffolk roadway projects. Deploys vehicle-mounted sensors, high-resolution cameras, LiDAR, and laser profilometers to capture imagery and geospatial information. Follows QA/QC procedures for data collection. Delivers roadway imagery and a georeferenced roadway condition dataset.

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