Fleet Management System
Introduction to Fleet Management
1.1 Definition and Scope
Fleet Management is the integrated process of overseeing, optimizing, and organizing a company's commercial assetsβincluding vehicles, vessels, or aircraftβfrom acquisition to disposal.
Its primary objectives are to enhance efficiency, reduce operating costs, strengthen safety, and ensure regulatory compliance.
1.2 Key Components of a Fleet
The effectiveness of fleet operations hinges on four interconnected pillars:
- Vehicles: The physical assets being managed.
- People: Drivers, mechanics, dispatchers, and management staff.
- Processes: The defined workflows for maintenance, dispatch, and compliance.
- Data: Information gathered via telematics, fuel cards, and inspections, which drives optimization.
1.3 Role of the Fleet Manager
The Fleet Manager is responsible for the strategic oversight of the fleet's lifecycle and performance, encompassing:
- Asset Lifecycle Management: Vehicle acquisition, utilization, and disposal.
- Driver Management: Training, behavior monitoring, and performance reviews.
- Maintenance: Scheduling, diagnostics, and repair oversight.
- Cost Control: Fuel management and overall budget adherence.
- Compliance: Ensuring adherence to safety and regulatory standards (e.g., HOS, IFTA).

Fleet Management Modules
- Vehicle Tracking & Telematics Module
- Maintenance & Diagnostics Module
- Driver Management & Behavior Module
- Compliance & Safety Module
- Dispatching & Optimization Module
- Fuel Management Module
- Analytics & Reporting Module
- Integration (API) Module
- Inventory Control

Fleet Management System Modules
This document structures the FMS content based on the Key Features of Fleet Management Software, detailing each feature, its corresponding FMS module/component, and relevant Git repository support.
1. Vehicle Tracking & Telematics Module
This module forms the data backbone of FMS, enabling real-time visibility into fleet locations to reduce idle time by up to 20%.
References: - openvehicles/Open-Vehicle-Monitoring-System-3 β Uses OBD-II for metrics like speed and diagnostics. - Mobile-Telematics/TelematicsApp-Android β Customizable SDK for GPS collection and geofencing alerts.
Key Features:
- GPS Tracking: Real-time location monitoring.
- Geofencing Capabilities: Virtual boundary alerts.
- Anti-Theft Measures: GPS-based unauthorized movement detection.
Sub-Modules:
- Real-time GPS tracking
- Geofencing
- Historical Route Replay
- Asset Tracking
- Odometer & Engine Hours
Repository Mapping:
- openremote/fleet-management (Java) β IoT-based tracking
- geotab-drive-windows (HTML) β GPS and telematics integration
- samsara-agent-windows (HTML) β Unauthorized movement alerts
- Mobile-Telematics/TelematicsApp-Android (Kotlin) β Mobile GPS SDK
2. Maintenance & Diagnostics Module
Preventive maintenance can cut downtime by 30%.
References:
- prithvisekhar/VehicalDiagnosticAlgo β OBD2 fault detection using phone sensors.
- hargata/lubelog β Self-hosted web app for maintenance logs.
Key Features:
- Vehicle Maintenance: Scheduling, tracking, managing service needs.
- Vehicle Diagnostics: Fault code reading and interpretation.
Sub-Modules:
- Preventive Maintenance (PM) Scheduling
- Work Order Management
- Fault Code/DTC Alerts
- DVIR (Digital Vehicle Inspection Reports)
- Service History Tracking
Repository Mapping:
- jmnda-dev/fleetms (PHP) β Scheduling and work orders
- iDharshan/ML-Based-Vehicle-Predictive-Maintenance-System (Python) β AI-based fault prediction
- hargata/lubelog (Go) β Maintenance and fuel tracking
3. Driver Management & Behavior Module
Monitoring behaviors like harsh braking improves safety scores by 15%.
References:
- RaisunLakra/AI-Based-Driver-Behavior-Analysis-System β Video-based behavior scoring
- madhurajayashanka/Vehicle_Black_Box β Hardware data logger
Key Features:
- Driver Behavior Analysis
- Driver Communication Tools
Sub-Modules:
- Driver Scorecards & Gamification
- In-Cab Coaching/Alerts
- Dashcam Integration
- Driver Identification (via Fob/PIN)
- Driver Document Management
Repository Mapping:
- Luan220703/Driver-Behavior-Detection (Jupyter)
- geotab-drive-windows (HTML)
- himloul/Driver-Behavior-Cluster (R)
- madhurajayashanka/Vehicle_Black_Box (C++, JS)
4. Compliance & Safety Module
Regulatory adherence avoids fines averaging $10K per violation.
Key Features: - Compliance Management
Sub-Modules:
- HOS / ELD Compliance
- Accident/Incident Reporting
- Safety Policy & Training Management
- Licensing & Registration Management
- IFTA Fuel Tax Reporting
Repository Mapping:
- geotab-drive-windows (C#)
- samsara-agent-windows (HTML)
- openvehicles/Open-Vehicle-Monitoring-System-3 (C, C++)
5. Dispatching & Optimization Module
Optimization algorithms can save 10β15% on routes.
References:
- TUM-VT/FleetPy β Dynamic re-routing
- alibaba/easydispatch β Real-time assignments
Key Features:
- Route Optimization
- Order Management
Sub-Modules:
- Route Planning & Optimization
- Dynamic Scheduling/Re-routing
- Job/Task Management
- ETA Sharing
- Proof of Delivery (ePOD)
Repository Mapping:
- fleetbase/fleetbase (JS)
- aws-samples/delivery-routes-optimization-for-logistics (TS)
- tejasvi/routero (Jupyter)
- TUM-VT/FleetPy (Python)
- alibaba/easydispatch (Python)
6. Fuel Management Module
Fuel accounts for 35% of costs; tracking idling can save 5%.
References:
- akhilrex/hammond β Fuel expense tracker
- OCA/fleet β Odoo-based integration
Key Features: - Fuel Consumption Monitoring
Sub-Modules:
- Fuel Card Integration
- Fuel Usage & Efficiency Reporting
- Fuel Level Monitoring
- Idling Monitoring
- Bulk Fuel Storage Management
Repository Mapping:
- jmnda-dev/fleetms (Elixir)
- stefmedjo/fleetmanager (Java)
- akhilrex/hammond (Go, Vue, JS)
- OCA/fleet (HTML, Python)
7. Analytics & Reporting Module
Custom reports drive 20% better decisions.
References:
- Fleet-Analytics-Dashboard/Application β Cost analytics
- SEA-ME/ME_IoT-Enabled-Fleet-Management β Grafana visualization
Key Features:
- Cost Tracking
- Customization
- Alerts
Sub-Modules:
- Customizable Dashboards
- Exception Reporting
- Benchmark Analysis
- Fleet Utilization Analysis
- Predictive Analytics
Repository Mapping:
- samsara-agent-windows (HTML, CSS)
- manju1807/trip-management-app (TS)
- UmeshGuptaIndia1994/Vehicles (Java)
- Fleet-Analytics-Dashboard/Application (Python)
8. Integration (API) Module
APIs enable 50% faster mobile access.
References:
- suxrobGM/logistics-app β Transport APIs
- googlemaps/last-mile-fleet-solution-samples β Vehicle/task simulation
Key Features: - Mobile Accessibility
Sub-Modules:
- Open API Access
- Accounting/ERP Integration
- Payroll System Integration
- External Sensor Integration
Repository Mapping:
- fleetbase/samsara (PHP, JS)
- yugabyte/yb-iot-fleet-management (Java)
- teslamotors/fleet-telemetry (Go)
- suxrobGM/logistics-app (C#, TS)
- googlemaps/last-mile-fleet-solution-samples (Java, Swift, JS)
9. Inventory Control
Efficient inventory reduces part stockouts by 25%.
References:
- inventree/InvenTree β Full-featured stock tracking
- OCA/fleet β Odoo integration
Key Features: - Inventory Control
Sub-Modules:
- Parts Inventory Tracking
- Automated Reorder Alerts
- Parts Cost Allocation
- Vendor Management
- Tire Management
Repository Mapping:
- fleetbase/fleetbase (PHP)
- neuharthr/Fleetco (PHP)
- adempiere/adempiereFMS (Java)
- inventree/InvenTree (Python/Django)
- OCA/fleet (Python)
Repository Classification by Language
JavaScript / TypeScript
- googlemaps/last-mile-fleet-solution-samples (Java, Swift, JavaScript)
- hargata/lubelog
- madhurajayashanka/Vehicle_Black_Box (C++, JavaScript)
- akhilrex/hammond (Go, Vue and JavaScript)
- suxrobGM/logistics-app (C#, TypeScript)
- inventree/InvenTree
- aws-samples/delivery-routes-optimization-for-logistics
Python / Django
- tejasvi/routero (Jupiter Notebook, python)
- TUM-VT/FleetPy
- OCA/fleet (HTML, python)
- inventree/InvenTree
- alibaba/easydispatch
- Fleet-Analytics-Dashboard/Application