Fuel Efficiency — Lead-Normalized Analysis
Fuel consumption normalized by lead distance using linear regression — trucks only
Model-wise Fuel Efficiency Comparison
Average km/ltr, ltrs/trip, and ltrs/hr by equipment model
Fuel vs KMs Travelled
Each dot = one vehicle, colored by model
Fuel vs No. of Trips
Each dot = one vehicle, colored by model
Lead-Normalized Fuel Anomaly Detection
Longer leads mean more cruising and fewer stop-start cycles per km, so ltrs/km typically decreases with lead. Per-model linear regression removes this lead effect — vehicles are flagged based on deviation from their expected fuel rate at their specific lead.
Model-wise Average Lead & Fuel Rate
Average one-way haul distance (km) and fuel consumption rate (ltrs/km) by model
Lead vs Fuel Consumption Rate (Raw)
Each dot = one vehicle — shows lead's influence on ltrs/km before normalization
Lead-Normalized Deviation
Each dot = one vehicle — deviation from expected fuel rate after removing lead effect. 0% = on regression line.
Regression Model Fit
Linear regression parameters per equipment model
Lead-Normalized Fuel Anomaly Report
Vehicles flagged based on ±20% deviation from regression-predicted fuel rate — 0 over-consumers, 0 efficient
Model Summary
Aggregated fuel efficiency metrics per model (with lead)
Vehicle-Level Detail
Individual vehicle fuel consumption, efficiency, and lead