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  5. ›Retroreflectivity Data Collection

California Department of Transportation·California

Retroreflectivity Data Collection

Closes 7/22/2026$2M – $7MInvitation for Bid
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Description

The California Department of Transportation seeks a contractor to perform comprehensive retroreflectivity data collection across the state highway system, host and maintain the resulting data for three years, provide online training to district staff, and migrate the data to Caltrans’ cloud platform. The effort includes field measurement of over 256,800 longitudinal stripe‑miles, quality‑control processing, a web‑based data portal, and ongoing data‑hosting services. The contract also offers an optional amendment to extend the agreement up to three additional years with a possible $5 M ceiling increase. • Field data‑collection using calibrated retroreflectivity equipment (≥5 years experience, 100 k+ line‑miles) • 36‑month data‑hosting and maintenance with 24‑hour access and a GIS‑enabled web interface • Delivery of online training to up to 26 districts/HQ (two sessions each) and final data transfer to Caltrans cloud • Mandatory DVBE participation (≥3 %) and small‑business preference considerations

Attached files

Contact

Eric Knight(Contract Analyst)

[email protected]

(916) 227-6000

Key dates

Opened
6/10/2026
Questions due
6/24/2026
Closes
7/22/2026
Duration
3 years

Last updated

Details

Type
Invitation for Bid
Industry
Transportation and Public Transit
NAICS
541370
Solicitation №
IFB 56A0889

Budget estimate

$2,000,000 – $7,000,000

No exact contract value is disclosed, but the scope (256,800 stripe‑miles of data collection, three‑year hosting, training, and cloud migration) suggests a multi‑million‑dollar award. Considering typical rates for large‑scale roadway data‑collection contracts and the optional $5 M amendment ceiling, a reasonable estimate ranges from roughly $2 M for a bare‑bones effort to $7 M if extensive data‑hosting, training, and cloud services are included. Factors influencing the final amount include equipment costs, labor rates, data‑hosting infrastructure, and any subcontracted small‑business or DVBE participation.

AI estimate from the solicitation

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