U.S. DOT FY 2026 Phase I Pre-Solicitation Q&A
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51 results found
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Verified mobility-event data
Would verified mobility-event data generated by a controlled commercial passenger transportation fleet be considered an eligible voluntary industry data source for Phase I research, if the data is privacy-preserving and used to develop proactive safety indicators rather than to fund transportation operations?
2 votes -
Annotated Safety Event Dataset as Phase I Deliverable
Does the DOT expect Phase I to deliver a real-time operational alerting or dashboard product rather than AI training-ready data infrastructure?
2 votes -
Does topic 26-OS1 contemplate hardware-based safety solutions
Does topic 26-OS1 contemplate hardware-based safety solutions that directly address CMV roof ice-shedding compliance, or is the scope limited to data analytics and software platforms?
2 votes -
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?
2 votes -
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?
2 votes -
2 votes
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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?
2 votes -
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?
2 votes -
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?
2 votes -
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?
2 votes -
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.
2 votes