From the Transportation edition of October 29, 2026
Derq to test AI-powered crash prevention at U.S. intersections (USDOT Intersection Safety Systems)
U.S. DOT Intersection Safety Systems program; Derq with TxDOT, City of Houston, VDOT, Alexandria and Falls Church · Roadway safety / state DOT partners · Texas and Virginia, US
- Publisher
- Highways Today (republished by Derq)
- Original publication
- Oct 23, 2026
- Source retrieved
- 2026-10-30
What happened
USDOT selected Derq as one of three teams (with teams led by UCLA and the University of Michigan) in the Intersection Safety Systems program to build and test AI that predicts conflicts such as red-light running and pedestrian crossings and triggers warnings, roadside signs or signal-operation changes. Testing starts at Virginia Smart Roads and TTI's RELLIS Proving Grounds before possible operational intersections. The solicitation estimated $5.5 million for Phase 1 and $11.5 million for Phase 2; no crash-reduction results exist yet.
Why it matters
Federal program with state DOT and city partners testing predictive, closed-loop intersection safety, including signal changes, which sets future procurement and validation expectations.
Evidence and measured results
Trade article hosted on the vendor's site; program facts cite USDOT materials; no performance data.
Limitations and uncertainty
Prototype stage; detecting conflicts is not the same as preventing crashes, as the article notes.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-29; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- Agencies need evidence that predictive intersection AI prevents crashes before deploying interventions.
- Stakeholders
- State DOT traffic safety engineers
- City traffic operations
- USDOT program office
- Discovery questions
- Which interventions will be permitted at operational intersections?
- How will surrogate safety be measured?
- Value hypothesis
- Independent evaluation could de-risk decisions about operational deployment.
- Potential engagement
- A bounded evaluation-design engagement for a partner agency.
- Unsupported claims
- Crash reductions
- Detection accuracy
Pre-sales engineering
Role takeaway
- Fit
- Fits evaluation and controller-integration review.
- Architecture and integration
- Roadside sensor fusion with signal controllers and V2X.
- Prerequisites
- Controller interface access
- Sensor installation
- Constraints
- Prototype phase at test facilities
- Security
- Secure controller interfaces against unauthorized signal changes.
- Proof of value
- Surrogate safety metrics in controlled tests
Delivery
Role takeaway
- Work
- Define test protocols and control authority before public-road evaluation.
- Dependencies
- Federal phase funding
- Partner agency approvals
- Ownership
- Partner DOTs and cities with the vendor.
- Skills and adoption
- Engineers trained on surrogate safety analysis.
- Governance checkpoints
- Approval before any automated signal intervention
- Acceptance criteria
- Proposed: documented fail-safe behavior
- Risks
- False alarms disrupting signal operations
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
Fuses video, LiDAR or radar, signal controller events and V2X messages with roadside processing.
Governance
Who approves, reviews and stays accountable for outcomes?
Interventions depend on local operating rules and control arrangements; validation needs surrogate safety measures.
Security and privacy
What data, permissions and controls need testing?
Roadside video analytics raise retention and access questions not covered.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Agencies will need staff able to evaluate surrogate safety metrics.
Procurement
What should contracts, pricing and exit terms secure?
Federal phases fund prototypes; operational deployment would require new procurement.
Operating model
Which teams own the service once it runs?
Moves intersections from monitoring toward automated intervention, requiring clear control authority.
Publication history
- 2026-10-29Transportation · Issue 0112 resources
Stable resource ID: usdot-intersection-safety-systems-derq