Optimize fuel consumption by analyzing idle times and driving behaviour in order to lower operating costs and reduce the CO2 emissions of the fleet.
Simulated vehicles report idle times, speeds, fuel consumption
Cloud aggregates and identifies unnecessary idling based on:
Context (e.g., traffic vs. parked)
Environment (cold vs. warm start)
Driver receives notification:
“Your idle time is 23% above average, costing you ~€15/week in fuel and 11kg CO₂. Would you like to enable EcoStart mode?”
Fleet manager sees heatmaps of idling across cities, identifies hotspot areas for rerouting or coaching.
| Component | Description |
|---|---|
| In-Vehicle ECUs | Last state telemetry, idling duration, GPS location, speed, gear status. Basic reasoning |
| Customer Devices (Mobile App) | Visualizes personal fuel efficiency and receives feedback/coaching |
| Cloud/Backend Infrastructure | Data persistence (time series, driver profile, vehicle data,..), advanced reasoning |
| Cross-Domain Connections | V2C (Vehicle to Cloud), Device2V (Driver App gets live trip feedback), Device2C (Cloud alerts on trend detection) |
| Source | Data |
|---|---|
| Vehicle Sensors | Engine status, RPM, GPS, idle time, speed, fuel flow |
| Driver Data | Unique driver ID, preferences (e.g., eco-mode), driving style |
| External Sources | Traffic congestion zones (e.g., idling at red lights), weather (cold starts) |
| Component | Role |
|---|---|
| VSS (Vehicle Signal Specification) | Standardizes all signals: Vehicle.Powertrain.CombustionEngine.IdleDuration, Vehicle.CurrentLocation, etc. |
| User Profile Abstraction | Abstracts driver IDs with linked behavior history |
| Bidirectional Data Sync | |
| Unified Access API (VISS/Info API) | VISS on-board vehicles, cloud middleware can be VSS compliant. |
| Time-Series Storage | Fuel and idling logs stored in time-series DB |
| Schema Generation | VSS-based schema used to define cloud DB schema |
| Component | Function |
|---|---|
| Semantic Rules | |
| ML Models | |
| Symbolic AI | |
| Real-time Knowledge Conversion | |
| AI Agents |
| Component | Role |
|---|---|
| Driver App | Shows fuel-efficiency score, idling history, behavior improvement suggestions |
| Fleet Dashboard | Aggregates vehicle-specific and driver-specific fuel reports |
| Decision Support | System recommends:
|
| Area | Application |
|---|---|
| Vendors | Combines hardware (OEM ECUs), mobile apps, cloud DB, AI toolkits |
| Security/Privacy | Role-based data access, driver-anonymous behavioral tracking |
| Scalability | |
| Diagnostics | |
| Extensibility | Modular: can integrate new sensors or driving behavior types |
| Interoperability | Unified VSS-based APIs |
| Multi-Cloud / Edge Support | Pre-processing at edge for live feedback; cloud for batch learning |
| Efficient Pipelines | |
| Industry Alignment |