Fleet Emissions Optimization Dataset

This dataset provides granular, trip-level data for commercial fleets, including vehicle specifications, route details, fuel and energy consumption, and calculated carbon emissions. It is designed to help transportation operators and urban planners optimize route efficiency, reduce emissions, and support sustainability and ESG reporting initiatives. The dataset enables in-depth analysis of vehicle performance, energy-saving opportunities, and environmental impact across fleets and time periods.

  • last updated 22 Nov 2025
  • by GoMask
The brief that made it

Analyzing and reducing commercial fleet carbon emissions

Sample rows

preview · 8 of 120 rows · all 28 columns
fleet_idstringvehicle_typestringroute_efficiency_scorefloatvehicle_makestringoperator_namestringvehicle_idstringvehicle_modelstringvehicle_yearintegerroute_idstringroute_namestringroute_start_latitudefloatroute_start_longitudefloatroute_end_latitudefloatroute_end_longitudefloattrip_idstringtrip_start_datetimedatetimetrip_end_datetimedatetimedistance_travelled_kmfloataverage_speed_kmhfloatfuel_typestringfuel_consumed_litersfloatenergy_consumed_kwhfloatco2_emissions_kgfloatemissions_factor_gco2_per_kmfloatoccupancyintegerload_factor_percentfloateco_driving_scorefloatreporting_periodstring
FLEET001-USelectric97.5TeslaUrbanEco MobilityV001-USModel 32022R001-USDowntown Express40.7128-74.00640.7306-73.9866T001-20242024-06-05T09:15:002024-06-05T09:47:0013.221.7electricityblank8.72.1122239.294.82024-06
FLEET002-UKhybrid88.9ToyotaGreenRide ShuttlesV002-UKPrius Hybrid2019R002-UKCentral-London Loop51.5074-0.127851.5245-0.1325T002-20242024-04-14T08:20:002024-04-14T08:55:0014.825.4hybrid0.86.41.39236298.12024-Q2
FLEET003-DEtruck41.9MANLogiHaul GmbHV003-DETGS 18.4402015R003-DEBerlin-Hamburg Freight52.5213.40553.55119.9937T003-20242024-03-03T06:10:002024-03-03T11:30:00289.354.9diesel68.5blank182.3630094.639.32024-Q1
FLEET004-INvan73.2TataBlueExpress IndiaV004-INWinger2018R004-INMumbai Courier Route19.07672.877719.218372.9781T004-20242024-05-17T14:25:002024-05-17T15:05:0012.918.9diesel3.5blank8.9690155.3772024-05
FLEET005-BRmotorcycle84.1HondaRioCourierV005-BRCB 300R2021R005-BRZona Sul Circuit-22.9068-43.1729-22.9707-43.1845T005-20242024-03-22T10:15:002024-03-22T10:37:008.723.4gasoline0.9blank2.5287018.591.62024-03
FLEET006-AUelectric98.2NissanSydney SustainableV006-AULeaf2023R006-AUCBD Shuttle-33.8688151.2093-33.8742151.2161T006-20242024-06-11T11:00:002024-06-11T11:29:006.613.6electricityblank6.11.2181234.296.72024-06
FLEET007-FRcar99.1RenaultEcoMove ParisV007-FRZOE2020R007-FRMontparnasse Loop48.84222.320648.85662.3522T007-20242024-04-09T13:40:002024-04-09T14:12:008.516electricityblank5.81118353.792.42024-Q2
FLEET008-CAvan88.9FordToronto DeliveryV008-CATransit2017R008-CAQueen St. Corridor43.6532-79.383243.6629-79.3957T008-20242024-05-22T12:00:002024-05-22T12:40:009.113.6gasoline1.2blank2.4263169.866.22024-05

What the 120 rows show

from the 120-row sample

Truck (vehicle type) stands out: mean route_efficiency_score is 54.2, against 88.9 for the rest.

  • 87.3median route_efficiency_score
  • 4fuel types
  • 12reporting periods
  • 9.4median distance_travelled_km
  • 19.6median average_speed_kmh
  • 1.4median fuel_consumed_liters
Mean route_efficiency_score by vehicle_type120 rows
05010082.9van21 ro…54.2truck25 ro…87.7car16 ro…88.2moto…8 rows97.3elec…29 ro…90.4hybr…16 ro…65.8dies…5 rows
route_efficiency_score120 rows, in bands of 10
025500012591263649050100route_efficiency_score →

Median 87.3, from 27.8 to 99.7.

vehicle_make120 rows · top 10 of 32 values
  1. Toyota12
  2. Renault8
  3. Chevrolet8
  4. Honda7
  5. Fiat7
  6. Hyundai7
  7. Nissan6
  8. Ford6
  9. Mercedes-Benz6
  10. Tesla5
28 columns by typefrom the column list below
  • string 11
  • integer 2
  • float 13
  • datetime 2

Columns

28 columns in three groups
blueprint · 28 columns
columntypedescriptionexample
Text 11 columns
fleet_idstringUnique identifier for the commercial fleet.uniqueFLEET001-US
operator_namestringName of the fleet operator or company.UrbanEco Mobility
vehicle_idstringUnique identifier for each vehicle in the fleet.uniqueV001-US
vehicle_typestringType of vehicle (e.g., van, truck, electric, hybrid, diesel, gasoline).9 valueselectric
vehicle_makestringManufacturer of the vehicle.optionalTesla
vehicle_modelstringModel of the vehicle.optionalModel 3
route_idstringUnique identifier for the route taken.uniqueR001-US
route_namestringDescriptive name or code for the route.optionalDowntown Express
trip_idstringUnique identifier for each trip instance.uniqueT001-2024
fuel_typestringType of fuel used for the trip (e.g., diesel, gasoline, electricity, hybrid).diesel · gasoline · electricity · hybrid · otherelectricity
reporting_periodstringReporting period for ESG or sustainability analysis (e.g., '2024-Q1', '2024-06').12 periods · optional2024-06
Numbers 15 columns
vehicle_yearintegerYear the vehicle was manufactured.1,980 to 2,100 · optional2022
route_start_latitudefloatLatitude coordinate for the route starting point.-90 to 9040.7128
route_start_longitudefloatLongitude coordinate for the route starting point.-180 to 180-74.006
route_end_latitudefloatLatitude coordinate for the route ending point.-90 to 9040.7306
route_end_longitudefloatLongitude coordinate for the route ending point.-180 to 180-73.9866
distance_travelled_kmfloatTotal distance travelled during the trip in kilometers.0 or more13.2
average_speed_kmhfloatAverage speed of the vehicle during the trip in kilometers per hour.0 or more · optional21.7
fuel_consumed_litersfloatAmount of fuel consumed during the trip in liters (or kWh for electric vehicles).0 or more · optional0.8
energy_consumed_kwhfloatAmount of energy consumed during the trip in kilowatt-hours (for electric or hybrid vehicles).0 or more · optional8.7
co2_emissions_kgfloatTotal CO2 emissions produced during the trip, measured in kilograms.0 or more2.1
emissions_factor_gco2_per_kmfloatEmission factor used for calculation, in grams of CO2 per kilometer.0 or more · optional122
occupancyintegerNumber of passengers or cargo units carried during the trip.0 or more · optional2
load_factor_percentfloatPercentage of vehicle capacity utilized during the trip.0 to 100 · optional39.2
route_efficiency_scorefloatCalculated efficiency score for the route (e.g., based on distance, time, and emissions).0 to 100 · optional97.5
eco_driving_scorefloatScore reflecting eco-friendly driving behavior during the trip.0 to 100 · optional94.8
Dates and times 2 columns
trip_start_datetimedatetimeDate and time when the trip started.2024-06-05T09:15:00
trip_end_datetimedatetimeDate and time when the trip ended.2024-06-05T09:47:00

Use it for

  • median route e…87.3120 rowsmean route efficiency…82.9van54.2truck87.7car88.2moto…

    A transportation dashboard

    Route_efficiency_score by vehicle_type and a breakdown of vehicle_make. Excel, Power BI or Tableau.

  • Why do the 25 truck rows have a mean route_efficiency_score of 54.2?

    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 fleets with operator_name, vehicle_id and vehicle_type to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 28 columns, your size and your rules. See 20 rows before you pay.

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This dataset120 rows28 columns
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blueprint · fleet-emissions-optimization-dataset

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 28 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 a unique fleet route per day
  • Must include vehicle type and fuel used
  • CO2 emissions calculated based on distance and fuel efficiency
  • Energy-efficient routes flagged if emissions below set threshold
  • Include IoT sensor status for real-time monitoring
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
fleet-emissions-optimization-dataset

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