Fleet Driver Telematics Oversight

This dataset provides granular oversight of fleet drivers in urban mobility, capturing trip-level telematics, driving behavior, route compliance, and sustainability metrics such as fuel consumption and CO2 emissions. It empowers transportation managers and city planners to optimize fleet operations, ensure ESG compliance, and improve safety and efficiency across remote workforces.

  • last updated 6 Dec 2025
  • by GoMask
The brief that made it

Monitoring and optimizing fleet driver performance and safety

Sample rows

preview · 8 of 120 rows · all 33 columns
driver_idstringvehicle_typestringesg_compliance_scorefloatroute_compliancebooleancountrystringdriver_namestringdriver_license_numberstringdriver_phonestringvehicle_idstringvehicle_makestringvehicle_modelstringvehicle_yearintegerassignment_start_datedateassignment_end_datedateroute_idstringroute_namestringroute_start_locationstringroute_end_locationstringroute_distance_kmfloattrip_idstringtrip_start_datetimedatetimetrip_end_datetimedatetimetrip_actual_distance_kmfloatdriving_behavior_scorefloatnumber_of_incidentsintegerincident_typesstringfuel_typestringfuel_consumed_litersfloatco2_emissions_kgfloatmanager_idstringmanager_namestringcitystringregionstring
DRV0001car97.8trueSpainMiguel HerreraLIC123456A+34 612 345 678VEH1001ToyotaPrius20222023-07-02blankRTE-MAD-URB01Madrid Centro LoopGran Via, MadridPlaza Mayor, Madrid12.4TRIP00010012024-04-01T09:15:002024-04-01T09:36:0012.693.51lane deviationhybrid0.61.4MNG1001Carla EspinozaMadridMadrid
DRV0002truck74.4trueUSASarah JohnsonLIC654321B+1-312-555-0198VEH1002VolvoFH1620192022-11-14blankRTE-IL-IND02Chicago to St. Louis FreightChicago, ILSt. Louis, MO467.8TRIP00010022024-04-03T06:30:002024-04-03T13:42:00471.180.23speeding, hard acceleration, harsh brakingdiesel164.7412.2MNG1002Robert EvansChicagoIL
DRV0003electric scooter99.7trueIndiaAnjali SharmaLIC876543C+91 98765 43210VEH1003OlaS1 Pro20232024-01-09blankRTE-BLR-ECO03Indiranagar Green PathIndiranagar, BangaloreKoramangala, Bangalore4.8TRIP00010032024-05-02T17:05:002024-05-02T17:21:004.998.80blankelectric00.1MNG1003Deepak RaoBangaloreKarnataka
DRV0004van56.3falseGermanyLucas SchmidtLIC345678D+49 1520 1234567VEH1004MercedesSprinter20112021-05-272023-12-12RTE-BER-OLD04Berlin Mitte ShuttleAlexanderplatz, BerlinPotsdamer Platz, Berlin9.3TRIP00010042023-07-21T08:05:002023-07-21T08:25:009.468.74speeding, engine idling, harsh braking, lane deviationdiesel3.210.1MNG1004Julia NeumannBerlinBE
DRV0005bus40.4trueBrazilDaniela SouzaLIC234567E+55 11 99876-5432VEH1005ScaniaCitywide20082022-01-182023-10-30RTE-SP-BUS05Paulista Avenue TransitConsolação, São PauloBrooklin, São Paulo21.6TRIP00010052023-06-12T17:30:002023-06-12T18:02:0021.263.22harsh braking, engine idlingdiesel7.125.3MNG1005Carlos AlmeidaSão PauloSP
DRV0006car96.1trueIrelandLiam O'ConnorLIC456789F+353 85 123 4567VEH1006FordFocus20172023-04-21blankRTE-DUB-URB06Dublin City RingO'Connell St, DublinSt. Stephen's Green, Dublin7.2TRIP00010062024-05-09T13:40:002024-05-09T13:57:007.390.10blankpetrol0.82.2MNG1006Aoife MurphyDublinLeinster
DRV0007electric scooter100trueJapanTomoko SatoLIC567890G+81 90 1234 5678VEH1007YamahaE-Vino20212023-10-01blankRTE-TKO-ECO07Tokyo Eco DistrictShibuya, TokyoShinjuku, Tokyo3.6TRIP00010072024-05-18T10:12:002024-05-18T10:23:003.7990blankelectric00.1MNG1007Yuki MatsudaTokyoTokyo
DRV0008truck71.5falseUAEJames LeeLIC678901HblankVEH1008MANTGX20152021-12-03blankRTE-DXB-FRT08Dubai Industrial FreightJebel Ali, DubaiRas Al Khor, Dubai621.4TRIP00010082024-03-29T07:55:002024-03-29T15:23:00626.277.92speeding, engine idlingdiesel206.3510.9MNG1008Ahmed KhalidDubaiDubai

What the 120 rows show

from the 120-row sample

Van (vehicle type) stands out: mean esg_compliance_score is 40.7, against 83.9 for the rest.

  • 80%route_compliance = true
  • 83.0median esg_compliance_score
  • 4fuel types
  • 10.7median route_distance_km
  • 10.8median trip_actual_distance_km
  • 87.2median driving_behavior_score
Mean esg_compliance_score by vehicle_type120 rows
05010040.7van19 rows75.6truck31 rows96.5car41 rows99.7electr…17 rows39.8bus12 rows
esg_compliance_score120 rows, in bands of 10
0306000415652241054050100esg_compliance_score →

Median 83.0, from 28.5 to 100.0.

country120 rows · top 10 of 31 values
  1. USA11
  2. Germany9
  3. Brazil9
  4. UK8
  5. Spain7
  6. France7
  7. India6
  8. China6
  9. UAE5
  10. Egypt5
33 columns by typefrom the column list below
  • string 20
  • integer 2
  • float 6
  • date 2
  • datetime 2
  • boolean 1

Columns

33 columns in four groups
blueprint · 33 columns
columntypedescriptionexample
Text 20 columns
driver_idstringUnique identifier for each fleet driveruniqueDRV0001
driver_namestringFull name of the fleet driverMiguel Herrera
driver_license_numberstringOfficial license number of the driveruniqueLIC123456A
driver_phonestringContact phone number of the driveroptional+34 612 345 678
vehicle_idstringUnique identifier for the vehicle assigned to the driverVEH1001
vehicle_typestringType of vehicle (e.g., van, truck, car, electric scooter)6 valuescar
vehicle_makestringManufacturer of the vehicleoptionalToyota
vehicle_modelstringModel of the vehicleoptionalPrius
route_idstringUnique identifier for the assigned routeRTE-MAD-URB01
route_namestringName or description of the routeoptionalMadrid Centro Loop
route_start_locationstringStarting location of the routeoptionalGran Via, Madrid
route_end_locationstringEnding location of the routeoptionalPlaza Mayor, Madrid
trip_idstringUnique identifier for each trip taken by the driveruniqueTRIP0001001
incident_typesstringComma-separated list of incident types recorded during the tripoptionallane deviation
fuel_typestringType of fuel used by the vehicle (e.g., diesel, petrol, electric)diesel · petrol · electric · hybrid · other · optionalhybrid
manager_idstringUnique identifier for the transportation manager overseeing the driveroptionalMNG1001
manager_namestringFull name of the transportation manageroptionalCarla Espinoza
citystringCity where the trip took placeoptionalMadrid
regionstringRegion or state where the trip took placeoptionalMadrid
countrystringCountry where the trip took placeoptionalSpain
Numbers 8 columns
vehicle_yearintegerYear the vehicle was manufactured1,990 to 2,024 · optional2022
route_distance_kmfloatTotal distance of the route in kilometers0 or more · optional12.4
trip_actual_distance_kmfloatActual distance covered during the trip in kilometers0 or more · optional12.6
driving_behavior_scorefloatAggregated score representing the driver's driving behavior (e.g., safety, efficiency)0 to 100 · optional93.5
number_of_incidentsintegerNumber of driving incidents (e.g., speeding, harsh braking) during the trip0 or more · optional1
fuel_consumed_litersfloatAmount of fuel consumed during the trip in liters (if applicable)0 or more · optional0.6
co2_emissions_kgfloatEstimated CO2 emissions generated during the trip in kilograms0 or more · optional1.4
esg_compliance_scorefloatScore indicating the trip's alignment with ESG (Environmental, Social, Governance) goals0 to 100 · optional97.8
Dates and times 4 columns
assignment_start_datedateDate when the driver was assigned to the vehicle2023-07-02
assignment_end_datedateDate when the assignment ended (if applicable)optional2023-12-12
trip_start_datetimedatetimeDate and time when the trip started2024-04-01T09:15:00
trip_end_datetimedatetimeDate and time when the trip ended2024-04-01T09:36:00
True or false 1 column
route_compliancebooleanIndicates whether the driver followed the assigned routetrue

Use it for

  • route complian…80%96 of 120 rowsmean esg compliance s…40.7van75.6truck96.5car99.7elec…

    A transportation dashboard

    The route_compliance rate, esg_compliance_score by vehicle_type and a breakdown of country. Excel, Power BI or Tableau.

  • Why do the 19 van rows have a mean esg_compliance_score of 40.7?

    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 drivers with driver_name, driver_license_number and driver_phone to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 33 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset120 rows33 columns
Yours1,000 rows33 columnsroute_start_location: UK only

blueprint · fleet-driver-telematics-oversight

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 33 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 driver record must include telematics data points: speed, location, idling time, and route adherence.
  • Flag any trips that exceed emissions thresholds set by ESG standards.
  • Drivers are assigned unique fleet IDs; route deviation is logged with timestamps.
  • Daily performance metrics must calculate fuel efficiency and safety event occurrences.
  • Remote oversight status (active/inactive) is updated per shift.
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-driver-telematics-oversight

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