Transportation Fleet Emissions Tracker

This dataset provides granular tracking of urban transportation fleet emissions, vehicle charging status, and route efficiency, enabling city planners and fleet managers to monitor electrification progress and optimize sustainability strategies. It supports detailed analysis of vehicle performance, emission reduction trends, and charging infrastructure utilization for data-driven decision making.

  • last updated 11 Jan 2026
  • by GoMask
The brief that made it

Monitoring and reporting fleet emission reductions over time

Sample rows

preview · 8 of 80 rows · all 27 columns
vehicle_idstringfuel_typestringemission_co2_kgfloatmanufacturerstringfleet_idstringvehicle_typestringmodelstringyearintegeremission_nox_gfloatemission_pm_gfloattrip_idstringroute_idstringtrip_start_datetimedatetimetrip_end_datetimedatetimetrip_distance_kmfloattrip_duration_minfloatroute_efficiency_scorefloatcharging_statusstringbattery_level_start_pctfloatbattery_level_end_pctfloatcharging_station_idstringcharging_start_datetimedatetimecharging_end_datetimedatetimeenergy_consumed_kwhfloatdriver_idstringcitystringregionstring
VEH1001electric0VolvoFLEET01bus7900 Electric201900TRIP0001RT012024-06-01T06:10:002024-06-01T07:05:0017.25587.3charged9874CHG-ST-012024-06-01T05:30:002024-06-01T06:00:0024.7DRV101New YorkManhattan
VEH1002diesel7.3FordFLEET01vanTransit201783.24.2TRIP0002RT022024-06-01T08:15:002024-06-01T08:51:0014.93671.8N/AblankblankblankblankblankblankDRV115New YorkBrooklyn
VEH1003electric0Mercedes-BenzFLEET02truckeActros202200TRIP0003RT152024-06-01T09:00:002024-06-01T10:10:0028.47090.1not charged8351blankblankblankblankDRV102Los AngelesCentral LA
VEH1004hybrid2.9ToyotaFLEET03carPrius Hybrid202010.10.4TRIP0004RT032024-06-01T07:50:002024-06-01T08:20:007.53078.5not charged5632blankblankblankblankDRV103ChicagoLoop
VEH1005electric0NissanFLEET03vane-NV200201800TRIP0005RT132024-06-01T10:12:002024-06-01T10:45:009.83393.4charged10085CHG-ST-042024-06-01T09:30:002024-06-01T10:10:0016.3DRV104ChicagoHyde Park
VEH1006diesel13.1IsuzuFLEET04truckNPR-HD2015112.77.2TRIP0006RT052024-06-01T11:02:002024-06-01T12:16:0021.77462.1N/AblankblankblankblankblankblankDRV105HoustonDowntown
VEH1007electric0BYDFLEET04busK9202100TRIP0007RT092024-06-01T13:15:002024-06-01T14:05:0012.65089.6charging6793CHG-ST-022024-06-01T12:00:002024-06-01T13:10:0029.8DRV106HoustonUptown
VEH1008electric0ChevroletFLEET05carBolt EV202000TRIP0008RT082024-06-01T15:30:002024-06-01T16:00:008.43095.2charged10088CHG-ST-032024-06-01T14:30:002024-06-01T15:20:0013.7DRV107San FranciscoMission

What the 80 rows show

from the 80-row sample

Diesel (fuel type) stands out: mean emission_co2_kg is 16.4, against 1.9 for the rest.

  • 2.6median emission_co2_kg
  • 4charging statuses
  • 5vehicle types
  • 21cities
  • 22fleets
  • 9.9median emission_nox_g
Mean emission_co2_kg by fuel_type80 rows
010200.0electric37 rows16.4diesel21 rows7.1gasoline7 rows4.0hybrid15 rows
emission_co2_kg80 rows, in bands of 5
025504911873201530emission_co2_kg →

Median 2.6, from 0.0 to 28.7.

manufacturer80 rows · top 10 of 33 values
  1. Toyota6
  2. Ford5
  3. Mercedes-Benz5
  4. Chevrolet5
  5. Proterra5
  6. Volvo4
  7. Nissan4
  8. BYD4
  9. Honda4
  10. Tesla4
27 columns by typefrom the column list below
  • string 13
  • integer 1
  • float 9
  • datetime 4

Columns

27 columns in three groups
blueprint · 27 columns
columntypedescriptionexample
Text 13 columns
vehicle_idstringUnique identifier for each fleet vehicleuniqueVEH1001
fleet_idstringIdentifier for the fleet to which the vehicle belongsFLEET01
vehicle_typestringType of vehicle (e.g., bus, van, truck, car)bus · van · truck · car · otherbus
manufacturerstringVehicle manufacturer nameoptionalVolvo
modelstringVehicle model name or numberoptional7900 Electric
fuel_typestringPrimary fuel type (e.g., electric, diesel, gasoline, hybrid)electric · diesel · gasoline · hybrid · otherelectric
trip_idstringUnique identifier for each recorded tripuniqueTRIP0001
route_idstringIdentifier for the route taken during the tripRT01
charging_statusstringCharging status at trip start (e.g., charged, charging, not charged, N/A)charged · charging · not charged · N/Acharged
charging_station_idstringIdentifier for the charging station used (if applicable)optionalCHG-ST-01
driver_idstringIdentifier for the driver assigned to the tripoptionalDRV101
citystringCity where the trip took placeNew York
regionstringRegion or district within the cityoptionalManhattan
Numbers 10 columns
yearintegerYear the vehicle was manufactured1,990 to 2,100 · optional2019
emission_co2_kgfloatCO2 emissions in kilograms for the recorded trip or period0 or more0
emission_nox_gfloatNOx emissions in grams for the recorded trip or period0 or more · optional0
emission_pm_gfloatParticulate matter emissions in grams for the recorded trip or period0 or more · optional0
trip_distance_kmfloatDistance traveled during the trip in kilometers0 or more17.2
trip_duration_minfloatDuration of the trip in minutes0 or more55
route_efficiency_scorefloatEfficiency score for the route (e.g., based on time, distance, emissions)0 to 100 · optional87.3
battery_level_start_pctfloatBattery level percentage at trip start (for electric/hybrid vehicles)0 to 100 · optional98
battery_level_end_pctfloatBattery level percentage at trip end (for electric/hybrid vehicles)0 to 100 · optional74
energy_consumed_kwhfloatAmount of energy consumed during charging in kWh (if applicable)0 or more · optional24.7
Dates and times 4 columns
trip_start_datetimedatetimeDate and time when the trip started2024-06-01T06:10:00
trip_end_datetimedatetimeDate and time when the trip ended2024-06-01T07:05:00
charging_start_datetimedatetimeDate and time when charging started (if applicable)optional2024-06-01T05:30:00
charging_end_datetimedatetimeDate and time when charging ended (if applicable)optional2024-06-01T06:00:00

Use it for

  • median emissio…2.680 rowsmean emission co2 kg …0.0elec…16.4dies…7.1gaso…4.0hybr…

    A transportation dashboard

    Emission_co2_kg by fuel_type and a breakdown of manufacturer. Excel, Power BI or Tableau.

  • Why do the 21 diesel rows have a mean emission_co2_kg of 16.4?

    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 vehicles with fleet_id, vehicle_type and manufacturer to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 27 columns, your size and your rules. See 20 rows before you pay.

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This dataset80 rows27 columns
Yours1,000 rows27 columnscity: UK only

blueprint · transportation-fleet-emissions-tracker

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 27 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 vehicle trip
  • Vehicles may be electric, hybrid, or diesel
  • Emission output must be calculated per kilometer
  • Charging events are logged only for electric/hybrid vehicles
  • Route efficiency score is required for each trip
  • Trips with missing emission data flagged for audit
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
transportation-fleet-emissions-tracker

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