Questions & Answers
Fleet Management — Frequently Asked Questions
Common questions about Civic Fleet Management covering fleet operations, GPS telematics, preventive maintenance, MTO compliance, fuel management, implementation, security, and source code licensing.
Civic Fleet Management supports all municipal fleet types: light vehicles (sedans, SUVs, pickups), medium trucks, heavy trucks, fire apparatus, transit vehicles, off-road equipment (loaders, graders, backhoes), small equipment (mowers, trimmers), and trailers/attachments (plows, spreaders, trailers). The system handles parent-child relationships for equipment attached to vehicles, and supports both road-registered and off-road assets with appropriate maintenance and compliance workflows.
Civic Fleet Management integrates with major telematics providers (Geotab, CalAmp, Samsara) through pre-built connectors that normalize data into a standard format. The platform ingests GPS positions, engine diagnostic codes (DTCs), driver behaviour events, fuel consumption data, and odometer/hour meter readings. Telematics data automatically updates PM triggers, enabling mileage-based maintenance to fire at the right time. You can use your existing telematics provider — no hardware changes required.
Three key differences: (1) Municipal-specific features like MTO/CVOR compliance, PSAB PS 3150 depreciation, council-ready reporting, and department-level cost allocation that commercial systems don't support; (2) Source code ownership — you receive the complete source code under a perpetual licence, eliminating vendor lock-in, per-seat pricing, and annual SaaS escalation; (3) Civic platform integration — native connections to CRM, ERP, Asset Management, and other Civic modules for a unified municipal management platform.
Yes. The Vehicle Registry supports vehicles, heavy equipment, small equipment, attachments, and trailers as distinct asset types with appropriate attributes for each. Equipment can be linked to parent vehicles (e.g., a plow attached to a truck) with the relationship tracked for maintenance and cost allocation. Equipment usage can be tracked by hours instead of mileage, with PM schedules configured accordingly.
The AI engine analyzes historical maintenance data, telematics sensor readings (DTCs, engine parameters, fuel consumption anomalies), and vehicle specifications to predict developing component failures before they cause breakdowns. Predictions are surfaced with confidence scores and recommended actions. The model trains on your fleet's specific data, improving accuracy over time. Typical results: 60% reduction in emergency repairs within the first year of AI activation.
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