AI Mobility Operations Platform
QDrive
AI Mobility Operations Platform
QDrive
Tachograph, diagnostic, location and energy data read by AI — improving safety, efficiency, charging and carbon performance.
Overview
Turning what the vehicles record into better operation
Driving and diagnostic data show risky driving — and how you are doing on cost and carbon.
Driving and safety analysis
Speed, harsh acceleration and braking reveal risky driving and where it can improve
Energy and charging
Battery and energy use are watched, and charging and discharging schedules tuned
Carbon management
Distance and energy data give the emissions figure — and the reduction achievedFeatures
AI points to the next action in mobility operations
Operators, fleet managers, and drivers work from the same data to reduce risk and waste.
Fleet-wide control
Combine location, trip state, incidents, faults, and risky-driving events to see the whole fleet and what needs attention first.
- Live overview
- See location, utilisation, operating state, and incidents on maps and metrics
- Risk hotspot analysis
- Read repeated harsh manoeuvres in the context of weather and roads
- Performance comparison
- Compare safety, fuel, and efficiency by vehicle, driver, and route
Vehicle and driver operations
Organise each vehicle and driver, then use fault signals and demand to adjust maintenance, allocation, and deployment.
- Unit-level view
- See scores, fuel, utilisation, mileage, and event history by unit
- Predictive maintenance
- Use OBD and CAN signals to anticipate faults and maintenance timing
- Planning and records
- Adjust deployment to demand and keep trip and action history
Operating and investment metrics
Combine fuel savings, avoided maintenance, and driver incentives into monthly results and the evidence for the next investment.
- Monthly net impact
- Fuel savings, avoided maintenance cost, and incentives together
- Savings over time
- Chart the change in savings since rollout
- Distribution and benchmark
- Compare drivers and vehicle groups with similar operations
Driver-specific safety coaching
Explain driving behaviour in its road, weather, and trip context, with practical ways to improve safety and energy efficiency.
- Context-adjusted scoring
- Account for traffic, weather, and trip conditions
- Actionable coaching
- Suggest idling, steady speed, and anticipatory braking improvements
- Measured improvement
- Compare safety, fuel, and energy use before and after coaching
Carbon and energy savings
Calculate avoided emissions from tachograph distance and fuel economy, and show how driving habits affect efficiency.
- Distance and economy basis
- Calculate reductions from DTG distance and fuel economy
- Safety ↔ economy
- Analyse how driving habits correlate with fuel economy
- Trends over time
- Accumulate improvement by period
Impact comparison and validation
Compare non-AI conditions and driver groups before and after coaching to leave evidence of the improvement achieved.
- Non-AI baseline
- Compare with the same conditions without AI
- Coaching groups
- Split driver groups and compare before and after
- Cross-validation
- Confirm figures by comparing OBD and DTG records
Standards & Data Integration
Everything the vehicle and the operation produce, on one standard
Driving, diagnostic, location, communication and charging data joined by standard, ready to analyse and act on.
| Data | What is collected | Device | Standard / interface |
|---|---|---|---|
| Trip records | Speed, RPM, distance, harsh acceleration and braking, driving habits | Digital tachograph (DTG) | Tachograph standard · serial, USB |
| Vehicle diagnostics | Engine, fuel, battery, fault codes, consumable condition | On-board diagnostics (OBD) | OBD-II PID · CAN·CAN-FD |
| Position and movement | Live coordinates, speed, route and route sections | GPS, GNSS and precise-positioning receivers | NMEA 0183 · RTK·RTCM |
| Data transmission | Vehicle, sensor and operational data sent live | In-vehicle gateway and communication module | LTE Cat M1 · MQTT·HTTPS |
| Energy and charging | Battery condition, power use, charging sessions, charge plans | BMS, chargers, charging infrastructure | OCPP · ISO 15118 |
| Emissions | Emissions and reductions from distance, fuel and electricity | Driving, diagnostic and energy data combined | GHG Protocol · ISO 14064 |
Business Impact
What QDrive gives you
One view of the fleet
Location, driving and diagnostics, shared by drivers and operations
Safer driving, better maintenance
Risky driving and faults caught early, feeding coaching and maintenance
Energy and charging tuned
Battery and power use per vehicle, tuning charging and deployment
Carbon performance
Emissions from distance and fuel, with each reduction verified
Ideal Use Cases
It suits operations like these
For organisations managing driving, safety, energy and carbon together.
Public transport, shuttles and MaaS
Where many vehicles must be tracked, and safety and service quality managed alongside
Logistics, delivery and field service
Fleets that must cover more ground while spending less on fuel, accidents and repairs
Rental, car sharing and company fleets
Where vehicle condition and usage history need standardising, and safety, maintenance and reporting need structure
EV fleets and charging infrastructure
Where battery and charge state must feed the schedule, and energy cost and carbon reduction must be managed