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Domain

Transit Intelligence

Advanced transit analytics — AI demand-responsive transit, ridership forecasting, transit equity analysis, electric bus fleet management, rider digital experience, operations & safety intelligence, and service reliability analytics.

MAPE <10%

Forecast Accuracy

Monthly

Equity Refresh

±5% accuracy

E-Bus Range

≤5 min

Dashboard Lag

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

7

Delegated to

4

Operational data, real-time tracking

transit-operations

ML model training, NLP

ai-ml-engine

Forecast pipelines

predictive-analytics

Equity mapping, 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 7 discrete capabilities — each with API surface, business rules, and data ownership.

Dynamic micro-transit zones with on-demand flex routes, ML rider matching, real-time optimization, and performance comparison against fixed routes.

Dynamic Zones

Micro-transit zones with configurable service hours and maximum wait times.

Flex Routing

On-demand flex routes with ML rider matching and real-time optimization.

Performance

Metrics vs. fixed route: ridership, cost per trip, coverage.

ML models incorporating weather, events, and seasonal patterns for time-series ridership prediction at route-level with fare elasticity analysis.

ML Models

Weather, events, seasonal factors. Time-series predictions.

Route-Level

Demand prediction per route for scheduling optimization.

Impact Analysis

New development impact. Fare elasticity analysis.

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

6 RESTful endpoints across 6 resource groups — plus 4 domain events for async integration.

|
GET

/api/v1/transit/forecast/ridership

Ridership forecasts

Ecosystem

Products that depend on this module

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

Technical Specifications

Performance, Compliance & Configuration

Forecast Accuracy

TargetMAPE < 10%

Equity Refresh

TargetMonthly

E-Bus Range Prediction

TargetWithin 5% accuracy

Dashboard Refresh

Target≤ 5 min lag

System Availability

Target99.9%

FAQ

Frequently Asked Questions

Ready to Integrate

Build on Transit Intelligence

Request an architecture brief, integration guide, or live demo environment for your team.