Fleet Energy Consumption Monitoring

This dataset provides granular, sensor-based daily energy consumption records for vehicle fleets, including detailed vehicle attributes, route information, and emissions estimates. It is designed for transportation managers and ESG analysts to monitor, analyze, and optimize fleet energy usage, supporting sustainability reporting, regulatory compliance, and operational cost reduction.

  • last updated 5 Feb 2026
  • by GoMask
The brief that made it

Fleet energy usage monitoring and optimization

Sample rows

preview · 8 of 115 rows · all 20 columns
record_idstringvehicle_typestringco2_emissions_kgfloatfuel_typestringvehicle_idstringvehicle_makestringvehicle_modelstringvehicle_yearintegerroute_idstringroute_namestringroute_start_locationstringroute_end_locationstringroute_distance_kmfloatdatedateenergy_consumed_kwhfloatfuel_consumed_litersfloatnumber_of_stopsintegeraverage_speed_kphfloatdriver_idstringnotesstring
REC0001truck1065.2dieselVH1001FreightlinerCascadia2018RTE1001Dallas to Houston ExpressDallasHouston386.22023-07-011620.5401.3474.8DRV2001Long-haul, overnight delivery
REC0002bus0electricVH1002BYDK92022RTE1002Downtown Loop ShuttleSan FranciscoSan Francisco18.72023-07-0229.4blank1621.3DRV2002Urban shuttle, high frequency
REC0003van19.8dieselVH1003MercedesSprinter2019RTE1003Airport Cargo RunAtlantaHartsfield Airport29.62023-07-0334.18.7554.2DRV2003Airport traffic, moderate regen
REC0004car5.3gasolineVH1004ToyotaCorolla2015RTE1004Morning Commuter RouteBerkeleyOakland13.52023-07-0411.22.1232.1blankShort trip
REC0005truck1180.9dieselVH1005VolvoVNL2020RTE1005Interstate Cargo RunChicagoSt Louis480.52023-07-051852.4459.7382.9DRV2004No delays, efficient
REC0006van0electricVH1006FordTransit2021RTE1006Suburban Delivery CircuitPlanoFrisco16.92023-07-0619.5blank833.2blankblank
REC0007bus0electricVH1007ProterraCatalyst2025RTE1007Downtown CircularSeattleSeattle22.32023-07-0736.8blank1318.7DRV2005Loop route
REC0008car0electricVH1008TeslaModel 32023RTE1008Suburban EV CommuteSunnyvaleMountain View18.22023-07-0815.9blank337.5blankEV commuter

What the 115 rows show

from the 115-row sample

Truck (vehicle type) stands out: mean co2_emissions_kg is 862.7, against 4.0 for the rest.

  • 3.5median co2_emissions_kg
  • 22.3median route_distance_km
  • 21.7median energy_consumed_kwh
  • 7.3median fuel_consumed_liters
  • 5median number_of_stops
  • 37.5median average_speed_kph
Mean co2_emissions_kg by vehicle_type108 rows
05001,000862.7truck32 rows6.4van28 rows2.5car27 rows2.7bus21 rows
co2_emissions_kg108 rows, in bands of 200
040807726466708001,400co2_emissions_kg →

Median 3.5, from 0.0 to 1,298.

fuel_type115 rows · 5 values
  1. diesel42
  2. electric32
  3. gasoline18
  4. hybrid16
  5. other7
20 columns by typefrom the column list below
  • string 12
  • integer 2
  • float 5
  • date 1

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 12 columns
record_idstringUnique identifier for each energy consumption recorduniqueREC0001
vehicle_idstringUnique identifier for the vehicleVH1001
vehicle_typestringType or classification of the vehicle (e.g., truck, van, car, bus)4 typestruck
vehicle_makestringManufacturer of the vehicleoptionalFreightliner
vehicle_modelstringModel of the vehicleoptionalCascadia
fuel_typestringType of fuel or energy source used (e.g., diesel, gasoline, electric, hybrid)diesel · gasoline · electric · hybrid · otherdiesel
route_idstringUnique identifier for the route takenRTE1001
route_namestringDescriptive name of the routeoptionalDowntown Loop Shuttle
route_start_locationstringStarting location of the routeoptionalDallas
route_end_locationstringEnding location of the routeoptionalHouston
driver_idstringUnique identifier for the driver (if available)optionalDRV2001
notesstringAdditional notes or comments regarding the trip or energy consumptionoptionalShort trip
Numbers 7 columns
vehicle_yearintegerYear the vehicle was manufactured1,980 to 2,100 · optional2018
route_distance_kmfloatTotal distance of the route in kilometers0 or more · optional386.2
energy_consumed_kwhfloatTotal energy consumed by the vehicle on this date in kilowatt-hours (kWh) or equivalent0 or more1620.5
fuel_consumed_litersfloatTotal fuel consumed by the vehicle on this date in liters (if applicable)0 or more · optional401.3
co2_emissions_kgfloatEstimated CO2 emissions in kilograms for the trip (if available/calculated)0 or more · optional1065.2
number_of_stopsintegerNumber of stops made during the route0 or more · optional4
average_speed_kphfloatAverage speed of the vehicle during the route in kilometers per hour0 or more · optional74.8
Dates and times 1 column
datedateDate of energy consumption record2023-07-01

Use it for

  • median co2 emi…3.5108 rowsmean co2 emissions kg…862.7truck6.4van2.5car2.7bus

    A transportation dashboard

    Co2_emissions_kg by vehicle_type and a breakdown of fuel_type. Excel, Power BI or Tableau.

  • Why do the 32 truck rows have a mean co2_emissions_kg of 862.7?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable records with vehicle_id, vehicle_type and vehicle_make to fill a screen in front of a buyer.

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This dataset115 rows20 columns
Yours10,000 rows20 columnsroute_start_location: UK only

blueprint · fleet-energy-consumption-monitoring

Behind this dataset

Same schema. As many rows as you need.

These 115 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents one vehicle’s energy consumption for a single day.
  • Energy usage (in kWh) is captured via IoT sensor readings.
  • Route details include distance (km) and urban/rural classification.
  • Vehicle type and fuel source (electric, hybrid, diesel) are specified.
  • Maintenance events are flagged if they occur on that day.
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
fleet-energy-consumption-monitoring

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