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U.S. DOT FY 2026 Phase I Pre-Solicitation Q&A



5/29/26 Update: The Pre-solicitation is now closed. Topic questions are no longer being accepted. * * *

This U.S. DOT Small Business Innovation Research (SBIR) Pre-solicitation Q&A Forum provides small businesses an opportunity to submit clarifying questions on the topics published in the U.S. DOT Fiscal Year (FY) 2026 Phase I Pre-Solicitation. Questions will be answered by the Technical Experts/Topic Authors at the U.S. DOT Operating Administrations during this period. Questions shall be limited to improving the understanding of a particular topic's requirements and should not share proposal ideas nor proprietary information.

The U.S. DOT’s FY 2026 Pre-Solicitation period is April 29, 2026, through May 29, 2026, at 5:00 pm Eastern Time (ET). Only questions posted within this period will be responded to.

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Search: Browse the existing questions by category to find the topic you are interested in and to see if your question has already been addressed. If you see a question, you are also interested in, you can add a vote to the question, or leave a comment.

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  1. Select the research topic your question is related to from the drop-down menu that appears when you begin typing.
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Please note, all comments will be public information. Potential offerors shall not include in the question(s) or comment(s) any information that they do not wish to be made public. Telephone inquiries or meeting requests will not be addressed and may be removed. The U.S. DOT shall not respond to requests for advice or guidance on any offeror’s solution to any SBIR topic and shall not consider any submitted materials other than questions.

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229 results found

  1. Phase I Desired Outcomes specify “a proof-of-concept report describing a prototype AI-powered traveler support system”

    Phase I Desired Outcomes specify “a proof-of-concept report describing a prototype AI-powered traveler support system.” Does the Phase I evaluation require a functional software prototype with running code, or is an architecture design with a limited demonstration using archived GTFS data sufficient to constitute the “prototype” described in the report?

    1 vote

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  2. Would DOT consider a topic on hardware-level cargo authentication technology for trailers and rail containers?

    Would DOT consider a topic on hardware-level cargo authentication technology for trailers and rail containers? Cargo theft is a multi-hundred million dollar problem in the US and the CORCA bill identified a gap in physical security at the asset level. More advanced authentication locks that operate 100% offline have no current representation in the SBIR portfolio.

    1 vote

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  3. Temporary work-zone congestion

    Does topic 26-FH1 consider temporary work-zone congestion caused by roadway maintenance or robotic maintenance operations to be an acceptable Phase I use case for demonstrating Edge-AI/V2X congestion prediction and mitigation?

    1 vote

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  4. mobile autonomous aerial sensing platform

    Would a mobile autonomous aerial sensing platform be considered an acceptable emerging data source if the proposed system’s main deliverable is an Edge-AI/V2X congestion advisory architecture that detects work-zone or incident-related congestion and delivers location-specific advisories to affected road users and traffic management operators?

    1 vote

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  5. For the Desired Outcome “Commercial and Implementation Readiness Assessment"

    For the Desired Outcome “Commercial and Implementation Readiness Assessment”, what constitutes the minimum acceptable evidence of a commercialisation pathway — a Letter of Interest from a single state DOT or logistics partner, or are commitments from multiple stakeholders expected at Phase I?

    1 vote

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  6. For Technical Parameter TP-4 (federated learning)

    For Technical Parameter TP-4 (federated learning): does Phase I require a live multi-party FL deployment involving distinct legal entities sharing model updates, or is a simulated federation — two data partitions on the same infrastructure representing separate jurisdictions — sufficient as a Phase I architecture demonstration?

    1 vote

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  7. Technical Parameter TP-1 requires deploying “low-power edge AI devices at strategic freight bottlenecks.

    Technical Parameter TP-1 requires deploying “low-power edge AI devices at strategic freight bottlenecks.” For Phase I, is a benchtop hardware prototype or hardware-in-the-loop simulation of the edge device sufficient to demonstrate technical feasibility, or does Phase I require actual field deployment at a freight interchange?

    1 vote

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  8. For Technical Parameter TP-3 (synthetic data generation), does the DOT expect the generator to produce freight-domain-specific

    For Technical Parameter TP-3 (synthetic data generation), does the DOT expect the generator to produce freight-domain-specific synthetic trajectories and delay events, or is general-purpose tabular synthetic data augmentation acceptable as a Phase I implementation of this capability?

    1 vote

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  9. 26-FT1, Complete Trip Scope

    For Topic 26-FT1, should the Complete Trip scope include pedestrian network segments before, between, and after transit use, including sidewalks, crossings, curb ramps, station access, stop access, and transfer paths?

    1 vote

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  10. 1 vote

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  11. External or Internal Surface Temperature

    Does the solicitation require the coating to indicate temperature thresholds corresponding to internal package temperatures, or is external surface temperature indication sufficient for compliance purposes?"

    1 vote

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  12. For the Freight Corridor Predictive Intelligence topic, is preference given to solutions that provide dual functionality — simultaneously mo

    For the Freight Corridor Predictive Intelligence topic, is preference given to solutions that provide dual functionality — simultaneously monitoring both commercial vehicle health and the structural integrity of the weigh station platform itself using the same sensor array?

    1 vote

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  13. Is IRB-approved human-subjects testing required, or is lighter-touch evaluation ok?

    For the human factors testing, is the program expecting IRB-approved human-subjects testing, or is a lighter-touch evaluation (heuristic review or expert walk-through) acceptable?

    1 vote

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  14. Must multi-agent coordination be demonstrated, or is single-agent with extensibility enough?

    On the multi-agent coordination requirement, how much of that needs to be shown at this stage? A small demo with two adjacent edge nodes coordinating is a different scope than a single-agent demo with multi-agent extensibility just documented, so we'd like to scope it right.

    1 vote

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  15. Preferred archived data sources, or is sourcing offeror-driven?

    For archived data, is there a preferred source (NPMRDS, RITIS, state DOT data lakes, the Work Zone Data Exchange), or is that really up to the offeror?

    1 vote

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  16. What CV *********** rate should the benefits analysis assume?

    What connected-vehicle *********** rate should the benefits analysis assume? The topic asks for a with-vs-without-advisory comparison, and the result swings a lot depending on whether we're modeling at 5%, 10%, or 20% ***********.

    1 vote

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  17. Is CARMA / Saxton Lab integration expected for the HIL demo?

    For the HIL setup, does the program want to see integration with CARMA / the Saxton Lab, or is it fine to use our own HIL environment? Trying to figure out if CARMA integration is something that actually matters competitively here.

    1 vote

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  18. C-V2X as baseline given 5.9 GHz reallocation, or is DSRC still acceptable?

    With the 5.9 GHz reallocation and the move to C-V2X, should we be treating C-V2X (PC5/Uu) as the baseline for the HIL demo, or is DSRC still on the table?

    1 vote

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  19. Data integration plan — strategy document or working ingest pipelines?

    Is this more of a strategy document, or do you want to see working ingest pipelines for at least some of the data sources by the end?

    1 vote

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  20. Digital twin expectation — microsimulation, generative AI, or existing platform integration?

    For the digital twin piece — are you thinking more along the lines of physics-based microsimulation (Aimsun, SUMO, Vissim), or a generative AI model trained on real corridor traces? And is the program open to building on top of an existing digital-twin platform, or would you rather see something built from scratch?

    1 vote

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