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