Pavement Condition & Deterioration
PCI scoring (ASTM D6433), automated survey integration with AI crack classification, MTO-aligned deterioration curves, remaining service life calculation, and network-level condition forecasting — the analytical engine for treatment selection and capital planning.
AI Crack Accuracy
Survey Processing
Scenario Modeling
PCI Map
Purpose-Built for Canadian Municipalities
Purpose & Scope
What this module owns
Clear ownership boundaries prevent duplication and ensure every capability has exactly one authoritative home.
Owns
10Delegated to
5Segment attributes, traffic data
Colour-coded PCI maps
Automated crack classification, curve calibration
Field survey data capture
Condition reports, trend dashboards
These capabilities are handled by dedicated modules and consumed via stable API contracts — keeping boundaries clean and ownership unambiguous.
Core Capabilities
What it does
3 capability groups comprising 9 discrete capabilities — each with API surface, business rules, and data ownership.
ASTM D6433: all distress types (alligator, block, edge, longitudinal, transverse cracking, patching, potholes, rutting, shoving, weathering, bleeding, corrugation, depression), severity L/M/H, extent, deduct values, composite 0–100.
Distress Types
All ASTM D6433 distress types including cracking, deformation, patching, and surface defects.
Severity/Extent
Low/Medium/High severity with percentage-based extent measurement.
Deduct Values
Standard ASTM deduct value curves for composite PCI calculation.
Composite Score
0–100 composite PCI with maximum corrected deduct value methodology.
Vehicle-mounted data: imagery, GPS, laser rutting, IRI, surface texture. AI crack type/severity auto-classification with reconciliation against manual PCI for calibration.
Vehicle Data
Automated collection: pavement imagery, GPS track, laser rutting, IRI, and surface texture.
AI Classification
Automated crack type and severity classification from pavement imagery (≥ 90% accuracy).
Calibration
Reconciliation between automated and manual PCI for continuous calibration.
Processing
< 24 hours from vehicle collection run to PCI score availability.
Vehicle-mounted accelerometers or smartphone roughness measurement. IRI per segment converted to 1–5 scale. Captures subgrade settlement, frost heave, and base failure.
IRI Measurement
International Roughness Index from vehicle-mounted sensors or smartphone accelerometers.
1–5 Scale
IRI values converted to 1–5 ride comfort scale for public reporting.
Structural Indicators
Roughness patterns indicating subgrade settlement, frost heave, or base failure.
Trend Analysis
IRI trend tracking for early detection of structural distress.
FWD testing: deflection basin, backcalculated layer moduli, Structural Number/SAI. Distinguishes surface-only vs. full-depth reconstruction needs.
FWD Testing
Falling Weight Deflectometer deflection basin analysis at multiple offsets.
Backcalculation
Layer moduli backcalculated from deflection data for structural evaluation.
Structural Number
SN/SAI calculation for pavement structural adequacy assessment.
Treatment Guidance
Distinguishes surface-only rehabilitation from full-depth reconstruction needs.
Every module owns a single bounded context, exposes stable APIs, and can be composed into any Civic product — that's the architecture that scales.
Krutik Parikh
Creator of Civic
Data Model
Entity Architecture
4 entities with 4 relationships — the authoritative schema for this bounded context.
Entities
Select an entity to explore its fields and relationships
API Surface
Integration Endpoints
8 RESTful endpoints across 6 resource groups — plus 3 domain events for async integration.
/api/v1/pavement/surveys
Survey records
/api/v1/pavement/surveys
Record survey with distresses
Ecosystem
Products that depend on this module
2 Civic products consume Pavement Condition & Deterioration — making it one of the most critical platform services in the ecosystem.
Technical Specifications
Performance, Compliance & Configuration
AI Crack Classification Accuracy
Survey Processing
Scenario Modeling
PCI Map Rendering
FAQ
Frequently Asked Questions
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