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Fleet Performance Metrics in TelemaData

Posted: Tue May 20, 2025 8:35 am
by mouakter13
One of the most critical costs in fleet management is fuel. TelemaData tracks fuel consumption in real-time, showing how much fuel each vehicle uses over specific trips, routes, or time periods. Beyond raw consumption, the system calculates fuel efficiency (miles per gallon or liters per 100 km) and highlights inefficiencies caused by idling, aggressive driving, or poorly optimized routes. Monitoring these metrics helps identify vehicles or drivers that may require coaching or route adjustments to reduce fuel costs.

2. Vehicle Utilization and Idle Time
Knowing how often your vehicles are actively used versus sitting idle can reveal opportunities for better asset deployment. TelemaData reports on total engine hours, mileage, and idle time, helping managers understand if vehicles are being underused or if excessive idling is wasting fuel and causing wear. High idle times often indicate drivers could albania whatsapp data benefit from training or policy changes, such as turning off engines during long stops.

3. Driver Behavior Analytics
Driver safety and efficiency directly impact fleet performance. TelemaData monitors behaviors such as speeding, harsh braking, rapid acceleration, and cornering. These behaviors are scored and aggregated per driver, enabling fleet managers to implement targeted training programs and reward safe driving. Better driving habits not only reduce accident risk but also improve fuel efficiency and vehicle longevity.

4. Maintenance and Diagnostic Alerts
TelemaData integrates with vehicle onboard diagnostics (OBD-II) to provide real-time health reports and alert managers to issues before they become critical. Key metrics include engine faults, battery health, tire pressure, and fluid levels. Proactive monitoring supports scheduled maintenance, reducing unexpected breakdowns and downtime.

5. Route and Delivery Efficiency
Optimizing routes is essential to reducing operational costs. TelemaData tracks route adherence, deviations, stop durations, and delivery times. Managers can analyze whether drivers follow planned routes and identify bottlenecks or delays. Over time, this data supports route optimization and improved scheduling.