Anticipate deterioration
Use marking age, material, initial measurements, traffic and relevant weather conditions to forecast where performance may be declining.
Stripe Signal · An Advanced Magnolia initiative
Inspect where
it matters.
A nationwide pavement-marking intelligence concept. Designed to help transportation agencies turn a vast road network into a focused inspection plan.
Explore the approach ↗Broad screening. Targeted evidence. Field confirmation.
Concept film · Select an area. Gather evidence. Focus the response.
01 / The challenge
Every mile matters.
Attention is finite.
Pavement markings lose performance as materials age and roads carry traffic through changing weather. Across the country, transportation agencies must decide where to send inspection crews across extensive networks.
Specialized equipment can measure the light a marking returns toward a driver. The challenge is making the most of the time, travel and resources required to collect those measurements.
What if the next inspection route started with a clearer picture of where problems are most likely?
02 / The idea
A wider view.
A sharper set of priorities.
Stripe Signal would bring complementary evidence together, helping agencies focus existing resources on road segments most likely to need attention.
Look for supporting evidence
Examine targeted satellite observations and available connected-vehicle evidence for changes associated with marking condition.
Focus the field response
Deliver ranked, geolocated inspection candidates so DOT crews can confirm conditions with the equipment they already use.
03 / Follow the signal
From a whole network
to the next useful inspection.
Explore the proposed workflow. Each stage adds evidence where it can improve the next decision.
Stage 01 / Predict
Start broad. Identify likely need.
A deterioration model screens the road inventory using available installation records and local conditions. Its output is a ranked set of candidates for further assessment.
A forecast guides attention; it does not certify a marking's condition.
04 / Make existing resources go further
Better targeting.
More useful miles.
The aim is to complement transportation teams: use intelligence to improve where they look, then use their measurements to confirm what needs action.
Spend progressively
Screen broadly, then obtain additional evidence for selected locations as budgets, coverage and decision value allow.
Reduce avoidable travel
Group high-priority candidates into practical routes, with the goal of reducing unnecessary mileage and crew time.
Learn from confirmation
Feed field measurements back into evaluation of the forecasts and observations, improving the basis for future priorities.
05 / The handoff
Evidence crews
can act on.
The proposed deliverable is a clear inspection work package: where to go, which marking to check, why it was prioritized and how recent the supporting observations are.
Agency staff retain the final measurement and maintenance decision. Uncertain or missing observations remain visible.
PROPOSED INSPECTION BRIEFThe right context.
The right context.
Before the truck leaves.
- Location
- Route, direction, lane and segment limits
- Reason for priority
- Forecast deterioration and supporting observations
- Evidence quality
- Collection dates, coverage and uncertainty
- Recommended action
- Targeted instrumented inspection
- Return record
- Measured condition and agency decision
06 / What success would look like
Measure the value
in the field.
A pilot would compare prioritized inspection routes with existing selection practices, using reference measurements and a sample of lower-priority roads to check for missed problems.
Inspection yield
Deficient segments found per inspection.
Travel & time
Miles driven and crew hours required.
Total cost
Data, analysis and field costs per confirmed finding.
Missed problems
Deficiencies found among lower-priority segments.
Research foundations & what a pilot must establish
LSU research supports deterioration forecasting from initial retroreflectivity and project conditions. Published connected-vehicle systems demonstrate large-scale road observation. Their combination with satellite features for this specific task requires validation; no measured savings or satellite-based compliance accuracy is claimed here.
Sensor resolution, viewing geometry, observation age and vendor coverage affect usefulness. The design would use only signals shown to improve decisions. A satellite image alone would not establish nighttime retroreflectivity. Named research and providers are references, not announced partners.
Stripe Signal
Put intelligence ahead
of the inspection.
A national challenge. A practical opportunity for partnership.