Pavement & rail condition analytics

A combined accelerometer and imagery workflow that quantifies IRI, defects and maintenance budgets for Semnan's transport corridors.

Slide 1

Intelligent pavement monitoring for Semnan corridors combining IRI metrics and distress analytics.

Slide 2

Rehabilitation planning dashboard with corridor map, IRI metrics and BOQ budget scenarios.

Slide 3

Imaging and LiDAR survey capturing surface geometry and texture for precise diagnostics.

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Transport infrastructure

Pavement & rail condition analytics

A combined accelerometer and imagery workflow that quantifies IRI, defects and maintenance budgets for Semnan's transport corridors.

StatusOperational

ProvinceSemnan

DomainTransport infrastructure

Executive summary

Semnan's roads and rail lines require proactive maintenance. The analytics stack merges vehicle-based accelerometer feeds, imagery and field inspections to derive IRI scores and repair cost estimates.

Challenges addressed

Prioritising preventative maintenance on busy corridors.
Disparate datasets from inspectors and contractors.
Evidence needed to justify budgets to provincial and national bodies.

Delivery approach

Equip survey vehicles with sensors to capture ride quality.
Process video frames to locate cracks and structural issues.
Estimate rehabilitation costs and rank projects.

Delivered outcomes

GIS layers and dashboards showing condition trends.
Bill-of-quantity reports per section.
Implementation tracker aligned with contract milestones.

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