U.S. DOT FY 2026 Phase I Pre-Solicitation Q&A
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229 results found
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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 -
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 -
For the 80% baseline accuracy threshold stated in the Phase I objective
For the 80% baseline accuracy threshold stated in the Phase I objective: is this evaluated against a historical archived dataset, or must the system demonstrate 80% on a live real-time data feed during the Phase I period of performance?
2 votes -
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 -
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 -
26-FT1, Agency Facing Decision Support
For Topic 26-FT1, is an agency-facing decision-support or scenario-planning component considered responsive if it directly supports improved traveler-facing Complete Trip outcomes?
2 votes -
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 -
26-FH1: Is a formal agency partnership required for Phase I?
Is it sufficient to identify candidate state or local transportation agencies and document a plan for engagement, with a formal partnership established at the start of Phase II?
2 votes -
1 vote
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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 -
26-FH1
Does Phase I require physical edge hardware such as an RSU or roadside compute unit as part of the testbed, or is a high-fidelity software simulation environment acceptable as the primary validation platform, provided the system architecture is explicitly designed for transition to physical hardware in Phase II?
2 votes -
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 -
2 votes
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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 -
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 -
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 -
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 -
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 -
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 -
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