Case Study

ORCA Assesses a
Real Municipal Network

Watch ORCA process an entire city's road network from aerial imagery — assigning PASER-compatible ratings to every segment, flagging deterioration, and producing GIS-ready deliverables. This is what 48-hour road assessment looks like.

North Chicago, Illinois
Assessment completed in under 48 hours
PE-reviewed deliverables

ORCA aerial assessment flyover — North Chicago municipal road network, west to east traverse. Each road segment is analyzed for surface distress, assigned a PASER 1–10 rating, and delivered in GIS-ready format. Footage shows real assessment output.

147+
Road Segments Assessed
48hr
Delivery Turnaround
1–10
PASER Rating Scale
100%
PE-Reviewed Results

What the Assessment Captures

ORCA analyzes high-resolution aerial imagery across every segment in the road network. Each segment is evaluated and a final PASER-compatible score is assigned and PE-reviewed.

Surface Crack Detection

AI models consume the visible longitudinal, transverse, block, and alligator cracking patterns. Even fine cracking networks visible in high-resolution imagery are captured.

Surface Texture Analysis

Weathering, raveling, and aggregate loss alter surface reflectance and texture. ORCA models take in these surface-age indicators to distinguish recently maintained roads from those approaching end-of-life.

Patching and Repair History

Extensive patching indicates prior distress and predicts future maintenance needs. ORCA translates patch coverage and condition to factor repair history into the final segment rating.

PE Certification

Every assessment is reviewed by a licensed Professional Engineer before delivery. The PE confirms methodology consistency, flags anomalous segments, and reviews the output against PASER standards.

North Chicago Road Conditions 2024 Assessment

Actual segment ratings from the North Chicago assessment. Every road receives a numeric PASER score and a condition classification — delivered as GeoJSON and shapefile with full attribute tables.

Sample Assessment Output — North Chicago Municipal Network
Street PASER Score Condition Segment Length
Sheridan Road
9.86
Excellent 171 ft
13th Street
10.0
Excellent 145 ft
Atkinson Road
9.83
Excellent 844 ft
Victoria Avenue
9.45
Good 187 ft
Kristan Avenue
9.40
Good 508 ft
Foss Park Avenue
7.77
Good 578 ft
Sherman Avenue
6.56
Fair 225 ft
Hervey Avenue
4.15
Poor 424 ft
21st Street
3.73
Poor 965 ft
Prospect Avenue
3.49
Poor 1,253 ft
Wright Avenue
2.75
Failed 205 ft
22nd Place
2.43
Failed 1,379 ft

Actual data from North Chicago ORCA assessment. Full network results delivered in GeoJSON + shapefile. See methodology disclaimer.

Condition Distribution

Every ORCA assessment includes a network-wide condition summary, showing the percentage of road length in each condition category — the data your engineers need for capital planning and WISLR reporting.

North Chicago — Road Network Condition Distribution
Excellent (PASER 9–10) 22%
Good (PASER 7–8) 18%
Fair (PASER 5–6) 15%
Poor (PASER 3–4) 31%
Failed (PASER 1–2) 14%

In this network, nearly half of roads (45%) were in Poor or Failed condition — critical intelligence for capital planning and grant applications. ORCA identified priority reconstruction candidates across multiple corridors, enabling the municipality to build a defensible 5-year CIP.

Deliverables from Every Assessment

GIS-Ready GeoJSON + Shapefile
Per-segment condition attributes including PASER score, condition class, length, and recommended action. Drop directly into ArcGIS, QGIS, or your pavement management system.
PDF Summary Report
Network-wide condition summary, distribution charts, priority lists, and budget-level cost estimates. Ready to present to council, include in grant applications, or file with state agencies.
PE Reviewed Results
Every assessment reviewed by a licensed PE. Use the results in official reports, state submissions, and funding applications with confidence. If you need additional engineering services, we can help recommend or provide the necessary engineering services to support your projects.
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