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



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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20 results found

  1. "Trusted Intermediary" Hosting and Ownership

    For the "Secure Collaborative Data Frameworks" and "Trusted Intermediary" systems, does OST expect the proposing small business to serve as and host the trusted intermediary in Phase II and beyond, or should the architecture be designed to be handed off to a government agency or independent third party?

    2 votes

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  2. Would a human-centered safety communication system that generates real-time visual warning signals (based on braking behavior and environmen

    The system I am developing focuses on proactive accident prevention by providing immediate, human-visible signals to surrounding drivers and pedestrians.

    In addition to visual signaling, the system integrates environmental awareness (e.g., stop sign detection via GPS) to anticipate potential risk situations and provide advance warning.

    I would like to understand whether such human-generated and behavior-based signaling systems can be recognized as a valid input or complementary component within predictive safety analytics frameworks.

    2 votes

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  3. Does 26-OS1 cover intrastate operations under 500 miles, or only interstate long-haul?

    OST-R's topic description references "commercial freight." Does this include intrastate operations under 500 miles, or is the focus on long-haul interstate corridors? Our deployment target includes regional distribution networks — clarifying the operational scope will determine whether 26-OS1 or 26-FH1 is the stronger fit.

    1 vote

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  4. For the “Trusted Intermediary” design, must the Phase I architecture address compliance with a specific federal privacy framework

    For the “Trusted Intermediary” design, must the Phase I architecture address compliance with a specific federal privacy framework (e.g., NIST Privacy Framework, FISMA, CCPA-equivalent), or may proposers define their own privacy protection approach aligned with the spirit of the topic?

    1 vote

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  5. For Focus Area 5 (Comprehensive Health Modeling)

    For Focus Area 5 (Comprehensive Health Modeling), does Phase I require a working model trained on real fleet maintenance records, or is a design of how maintenance and environmental data would be integrated into the predictive model acceptable as a Phase I deliverable?

    1 vote

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  6. The topic references ISO/PAS 8800 and the proposed SELF DRIVE Act of 2026 in its reference list.

    The topic references ISO/PAS 8800 and the proposed SELF DRIVE Act of 2026 in its reference list. Are proposals expected to demonstrate formal compliance with these standards in Phase I, or is an alignment statement showing that the proposed architecture is designed to support these standards sufficient?

    1 vote

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  7. Focus Area 1 describes a “Trusted Intermediary” built on voluntary industry data.

    Focus Area 1 describes a “Trusted Intermediary” built on voluntary industry data. In Phase I, does the DOT expect the architecture to include a functional voluntary consent and data-contribution mechanism, or is a design specification of how such a mechanism would work sufficient?

    1 vote

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  8. Phase I Desired Outcomes specify “a proof-of-concept system design” and “an initial prototype design"

    Phase I Desired Outcomes specify “a proof-of-concept system design” and “an initial prototype design”. Does the Phase I evaluation require a functional software prototype with running code producing outputs, or is a detailed system design document with a limited simulation scenario (no live data feeds) acceptable as the Phase I prototype?

    1 vote

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  9. Would a cell phone application to detect driver impairment fit under the 26-OS1 topic?

    We are developing a mobile application designed to help assess potential driver impairment (drunk, fatigued, etc.) through a verbal assessment test. The app allows users to securely sign in and answer a series of questions intended to gauge cognitive and verbal indicators of impairment. Based on the user’s responses, the application provides feedback indicating whether the results suggest possible impairment or not.

    1 vote

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  10. 1 vote

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  11. Standards and Compliance Contexts

    Does "explainable" imply a particular standard — SHAP/LIME-style local explanations, audit-grade decision logs, regulatory-aligned model cards — or domain-specific explainability tied to DOT compliance contexts?

    1 vote

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  12. Trusted Intermediary

    Should "Trusted Intermediary" be read as a specific institutional form — federal agency, nonprofit consortium, neutral third party — or is the topic indifferent as long as the technical privacy guarantees hold?

    1 vote

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  13. Existing Data Partnerships

    Is having a private fleet data partner committed at Phase I a competitive prerequisite, or is securing one part of the Phase II commercialization plan?

    1 vote

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  14. Phase I Scope Expectation

    What is the expected Phase I demonstration scope on $200K over 6 months — a working prototype validated against real fleet data, or a feasibility framework demonstrated on synthetic / public datasets with Phase II reserved for live integration?

    1 vote

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  15. Does the topic favor a specific privacy-preserving approach — federated learning, differential privacy, secure enclaves, or homomorphic encr

    Does the topic favor a specific privacy-preserving approach — federated learning, differential privacy, secure enclaves, or homomorphic encryption — or is the choice left to the proposer based on use case?

    1 vote

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  16. Is condition-monitoring data from in-vehicle pre-trip inspections — tire tread depth, brake adjustment indicators, defect detection — consid

    Is condition-monitoring data from in-vehicle pre-trip inspections — tire tread depth, brake adjustment indicators, defect detection — considered in-scope as "private industry data" for the Trusted Intermediary framework? Or is the topic specifically targeting retrospective operational data such as HOS logs, ELD telematics, and CSA history?

    1 vote

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  17. Expectations for "Transparent & Explainable AI"

    The solicitation emphasizes the need for "Transparent & Explainable AI" to ensure transparency and build trust. Does the DOT have a preferred framework or standard for AI explainability (such as the NIST AI Risk Management Framework, or ISO/PAS 8800 as mentioned in the references) that the proposed model must strictly adhere to?

    1 vote

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  18. Clarification on "Public Safety Records" and Data Integration

    The topic description notes that the "Trusted Intermediary" architecture should fuse "voluntary industry data (such as telematics) can be fused with public safety records". Could you clarify which specific federal or state public safety databases (e.g., FMCSA MCMIS, crash records) the OST envisions this system integrating with, and whether there are preferred methods or APIs for this access?

    1 vote

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  19. Does 26-OS1 include commercial vehicle auction transaction data as a qualifying voluntary industry data stream?

    Would a system integrating NHTSA VIN-level recall data with auction house vehicle transaction data — flagging open safety recalls at point of commercial transfer before retail re-entry — represent the Trusted Intermediary architecture and proactive safety indicator use case envisioned by this topic?

    1 vote

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  20. Does predictive safety include human-visible communication systems designed to prevent accidents before driver reaction?

    I am developing a predictive human-centered safety communication system that provides a forward-facing visual signal activated during braking to improve awareness for oncoming drivers and pedestrians.

    In addition, the system is being expanded to include:

    • an amber-colored signal for regulatory compatibility,

    • a fully cordless, solar-powered design,

    • and GPS-based detection of stop signs to provide advance warning signals to drivers.

    Given that this approach is based on human-visible communication rather than AI-based analytics, I would like to confirm whether such a system falls within the scope of predictive safety analytics for this topic.

    1 vote

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