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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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229 results found

  1. 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?

    5 votes

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  2. 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?

    5 votes

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  3. "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?

    5 votes

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  4. Are autonomous vehicle operations in scope?

    The solicitation references SOTIF (ISO 21448) and the proposed SELF DRIVE Act, both of which are specific to automated driving systems. The body text describes general commercial transportation modernization. Could the program clarify whether proposals specifically targeting automated or semi-automated commercial vehicle safety analytics are within scope, or whether the program's primary interest is in non-AV fleet safety modernization?

    5 votes

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  5. Real-Time Operator Information

    What level of emphasis, if any, is placed on real-time operator or driver identity verification, credentialing, and risk scoring as inputs to the predictive safety analytics engine? Are there specific privacy, security, or audit-trail requirements the solution would need to address when handling personnel identity data within the Trusted Intermediary framework?

    4 votes

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  6. Does a fixed roadside sensor system that detects a specific vehicle-borne mechanical hazard and triggers a real-time driver alert intended t

    Roadside sensor system using edge-deployed AI to detect a vehicle-borne ignition hazard before pavement contact and alert downstream drivers in under one second. Target deployment: a western freight corridor with no parallel route and a documented history of multi-week closures from vehicle-generated ignition events.

    5 votes

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  7. 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?

    4 votes

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  8. Does the scope of 26-OS1 include compliance-focused predictive analytics tools targeting owner-operators and small commercial carriers?

    The topic description references "proactive safety indicators" derived from public safety records and voluntary industry data, with an emphasis on small carrier segments and explainable AI. We are exploring whether a Phase I proof-of-concept that uses FMCSA inspection and violation data to generate predictive compliance risk scores for individual owner-operators as a mechanism for early safety intervention falls within the intended scope of this topic. Alternatively, does DOT envision 26-OS1 as focused primarily on multi-carrier fleet telematics at the corridor or network level?

    3 votes

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  9. Data Source Eligibility

    Does 26-OS1 permit an asset-light, licensed fleet data model, or does the topic require the proposing small business to own and operate the vehicles generating the data?"

    3 votes

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  10. Fixed sensors for catch basin inspection?

    Would a miniature sensor mounted to catch basin grates and networked via cell and/or satellite be considered or is the solution required to use a vehicle mounted sensing system?

    4 votes

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  11. The Complete Trip includes “plan for and pay for a trip”.

    The Complete Trip includes “plan for and pay for a trip.” Does Phase I require a functional payment integration (e.g., transit fare payment via API), or is a payment feasibility assessment and architecture design for Phase II implementation sufficient?

    2 votes

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  12. 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?

    3 votes

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  13. 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?

    3 votes

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  14. 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.

    3 votes

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  15. Access to battery terminals?

    Does the proposed solution need to address discharge of batteries where the terminals are damaged, corroded, or otherwise inaccessible, or is the scope limited to batteries with intact and accessible terminal connections?

    4 votes

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  16. 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?

    4 votes

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  17. 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?

    3 votes

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  18. 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?

    3 votes

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  19. 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.

    4 votes

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  20. What are the expected data deliverables

    Would it be raw sensor data, processed reports, GIS-integrated condition assessments, or a combination? Does the DOT have an existing asset management system or database that the inspection data must integrate with?

    3 votes

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