Dutch national highway network near Amsterdam

Road authority evidence · The Netherlands

A national-scale foundation for more current road condition intelligence.

Approximately 80% of the Dutch national highway network has already been inspected with Inspech within Unihorn’s professional road-inspection workflow.

Existing inspection evidence≈80%

of the Dutch national highway network already inspected

Documented in the joint Unihorn–Inspech 2025 proposition
Operating contextNetwork authority · RijkswaterstaatInspection & engineering · UnihornTechnology · Inspech
Map showing Dutch national highway sections inspected with Inspech in blue
Inspection footprintBlue routes show the documented Inspech coverage

The result already established

Rijkswaterstaat does not need to start from zero.

The Dutch main road network covers approximately 8,000 kilometres of road and more than 20,000 lane-kilometres. The joint Unihorn–Inspech proposition records that around 80% of this network had already been inspected with Inspech.

That existing footprint matters because it creates a substantial, georeferenced evidence base from which recurring visual assessment can be standardised and expanded—without treating national adoption as a greenfield experiment.

≈80%documented inspection coverage
8,000 kmnational road-network context
>20,000lane-km in the full network context

Source context: joint Unihorn–Inspech proposition for Rijkswaterstaat, prepared in 2025. The 8,000 km and 20,000 lane-km figures describe the wider network; they are not additional Inspech result claims.

Why this matters

A large maintenance challenge requires scalable evidence and scarce expertise in the right places.

Ageing assets, deferred maintenance, constrained inspection capacity and pressure to reduce disruption make a purely periodic and reactive inspection model difficult to scale.

01

Network scale

Condition evidence must remain consistent across routes, regions and recurring cycles.

02

Specialist capacity

Inspectors need to focus on professional review and interpretation instead of repetitive image handling.

03

Traceable priorities

Maintenance choices need a visible and defensible evidence chain.

04

Lower disruption

More current information can help teams focus field activity and engineering attention.

Technology and domain expertise together

Inspech scales the visual evidence. Unihorn turns it into professional road practice.

Inspech organises road imagery in a georeferenced environment and provides AI-assisted recommendations for visible surface defects. Unihorn contributes the inspection expertise, reviews the evidence and connects validated findings to the wider investigation and maintenance context.

01Capture and organise road imagery
02AI-assisted visual review
03Inspector validation and interpretation
04Evidence for planning and advice
Responsibility principleAI accelerates the review. Inspectors own the assessment. Rijkswaterstaat and its engineering partners own the decisions that follow.
Unihorn road inspector reviewing field information on a tablet
Professional workflowHuman expertise remains in control

What the evidence demonstrates

More than a pilot: an operating foundation at national scale.

The strongest proof in the source is the combination of established network coverage and a professional delivery model.

01

National-scale coverage

Approximately 80% of the Dutch national highway network had already been inspected with Inspech when the joint proposition was prepared.

02

A repeatable digital workflow

Road imagery is organised into a georeferenced assessment environment so evidence can be reviewed consistently across routes.

03

Professional control

Unihorn brings inspection and engineering expertise; inspectors review the visual evidence and remain responsible for interpretation.

04

A reusable evidence base

Existing inspection data creates a foundation for comparison, prioritisation and a more current understanding of visible road condition.

Strategic upside modelled in the proposition

A credible base for evaluating national-scale value.

The joint proposition also models what wider, recurring adoption could mean for inspection cost, field effort, disruption and carbon impact. These numbers are useful as decision hypotheses—but they are not presented as realised customer results.

Projection boundaryScenario estimates for full-network scaling · not verified RWS outcomes
€3.6–6.9mestimated total annual benefit
up to 60%modelled fieldwork CO₂ reduction
<1 yearmodelled break-even across scenarios
30–40%modelled reduction in unplanned closures

Evidence and claim boundaries

What is established—and what still needs operational validation.

Clear separation between existing evidence and future scenarios keeps the case useful for professional and public-sector decision-makers.

01

Existing evidence

The approximately 80% coverage figure describes inspection work already completed across the Dutch national highway network.

02

Scenario projections

Savings, closure reduction, break-even and CO₂ figures are estimates in the joint 2025 national-scaling proposition—not realised or independently verified RWS outcomes.

03

Professional scope

Inspech supports visual road-condition assessment. It does not replace LCMS, IRI, FWD, skid-resistance measurements or pavement-engineering judgement.

From established coverage to recurring intelligence

Use the existing foundation to validate the next operating model.

A representative Operational Validation can define the recurring cadence, professional roles, standards, outputs and success criteria required before wider adoption.

Validate the next step
  • Representative route and capture workflow
  • Inspector effort and validation ownership
  • CROW/RWS method and reporting fit
  • GIS, PMS and asset-management outputs
  • Evidence required for a scaling decision
Explore Operational Validation