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U.S. Department Of Transportation·District of Columbia

Average Annual Daily Traffic - Data Collection

Closes 7/29/2026$500k – $2MSole Source
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Description

The Federal Railroad Administration (FRA) is conducting market research to identify qualified sources for creating a railroad bridge database. The objective is to acquire Average Annual Daily Traffic (AADT) data for active highway-rail grade crossings across the United States. The contractor will provide AADT data, including type of vehicle, vehicle speed, and time-of-day traffic, in CSV files. The FRA will provide latitude/longitude coordinates of each active highway-rail grade crossing. • The contractor must have the necessary resources to provide up-to-date AADT data. • The AADT data will be used to update mission-critical tools, including the grade crossing accident prediction system (GXAPS). • The contractor must deliver the required data within 4-6 weeks of the contract effective date. • The FRA will provide the latitude/longitude coordinates of each active highway-rail grade crossing within 2-4 weeks of the contract effective date.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

KeriAnne Gallagher(Contracting Officer)

[email protected]

Key dates

Opened
7/23/2026
Closes
7/29/2026
Duration
4-6 weeks

Last updated

Details

Type
Sole Source
Industry
Transportation and Public Transit
NAICS
541990
Solicitation №
693JJ6SS_AADT

Budget estimate

$500,000 – $2,000,000

The budget for this opportunity is difficult to estimate as the document does not provide a specific budget or payment amount. However, considering the scope of work, which involves collecting and analyzing AADT data for active highway-rail grade crossings across the United States, the budget could be substantial. Factors influencing the budget include the complexity of the data collection process, the number of grade crossings, and the level of analysis required. A rough estimate could be in the range of $500,000 to $2 million, depending on the contractor's expertise, resources, and the level of competition.

AI estimate from the solicitation

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