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Domain

Parking Intelligence

Advanced parking analytics — real-time sensor availability, predictive occupancy, dynamic pricing (85% target utilization), smart sensor network, LPR analytics, revenue optimization, and parking demand studies.

<5 sec

Sensor Latency

<12%

Prediction MAPE

15-min refresh

Dynamic Pricing

>98%

LPR Accuracy

Purpose-Built for Canadian Municipalities

Ontario Compliant
MFIPPA Ready
AODA Accessible
Bilingual Support
Canadian Hosted
SOC 2 Aligned

Purpose & Scope

What this module owns

Clear ownership boundaries prevent duplication and ensure every capability has exactly one authoritative home.

Owns

10

Delegated to

5

Operational data, ticket/permit data

parking-operations

ML model training, computer vision

ai-ml-engine

Sensor device management, data streaming

iot-sensor

Demand forecasting pipelines

predictive-analytics

Heat maps, coverage analysis

geospatial-engine

These capabilities are handled by dedicated modules and consumed via stable API contracts — keeping boundaries clean and ownership unambiguous.

Core Capabilities

What it does

4 capability groups comprising 8 discrete capabilities — each with API surface, business rules, and data ownership.

Sensor-based per-stall occupancy, camera analytics (computer vision), and Google Maps/Waze integration for at-a-glance lot availability.

Sensors

In-ground and surface-mount sensors. Per-stall occupancy. Camera analytics with CV.

Integration

Google Maps/Waze feed integration. At-a-glance lot availability.

Guidance

Variable message signs. Digital wayfinding. Level-by-level guidance.

ML models predicting occupancy by time-of-day, day-of-week, events, and weather with 15-min/1-hr/1-day horizons and area-level heat maps.

ML Models

Time-of-day, day-of-week, events, weather factors.

Horizons

15-minute, 1-hour, 1-day predictions.

Heat Maps

Area-level occupancy heat maps.

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 3 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 8 resource groups — plus 4 domain events for async integration.

|
GET

/api/v1/parking/availability

Real-time availability

Ecosystem

Products that depend on this module

3 Civic products consume Parking Intelligence — making it one of the most critical platform services in the ecosystem.

Technical Specifications

Performance, Compliance & Configuration

Sensor Data Latency

Target< 5 seconds

Prediction Accuracy

TargetMAPE < 12%

Dynamic Pricing Refresh

TargetEvery 15 minutes

LPR Accuracy

Target> 98% plate reads

Availability

Target99.9%

FAQ

Frequently Asked Questions

Ready to Integrate

Build on Parking Intelligence

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