Transportation Fleet Utilization Patterns

This dataset provides daily, vehicle-level utilization metrics for transportation fleets, including usage rates, idle times, operational efficiency, and location details. It enables fleet managers to analyze asset deployment, identify underutilized vehicles, and optimize operational strategies for cost savings and improved productivity.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Fleet utilization and optimization analysis

Sample rows

preview · 8 of 200 rows · all 15 columns
vehicle_idstringvehicle_typestringoperational_efficiencyfloatmaintenance_requiredbooleanfleet_idstringdatedatetotal_operational_hoursfloatactive_hoursfloatidle_hoursfloatutilization_ratefloatdistance_traveled_kmfloatfuel_consumed_litersfloatlocation_citystringlocation_statestringlocation_countrystring
VH0001truck4.53trueFLA1012024-06-01242.121.98.7514.53.2HoustonTexasUSA
VH0002van12.51falseFLB1022024-06-0312120100142.611.4Los AngelesCaliforniaUSA
VH0003car12.01falseFLA1012024-06-051816.31.790.56174.214.5DallasTexasUSA
VH0004bus4.81falseFLC1032024-06-042421.62.490520.3108.2New YorkNew YorkUSA
VH0005motorcycle40.72falseFLD1042024-06-0210100100215.75.3San DiegoCaliforniaUSA
VH0006other0trueFLA1012024-06-05000000MiamiFloridaUSA
VH0007truck2.27trueFLB1022024-03-18161.214.87.55.92.6ChicagoIllinoisUSA
VH0008van11.69falseFLC1032024-06-0224240100195.216.7PhoenixArizonaUSA

What the 200 rows show

from the 200-row sample

Motorcycle (vehicle type) stands out: mean operational_efficiency is 42.6, against 5.9 for the rest.

  • 33%maintenance_required = true
  • 7.2median operational_efficiency
  • 60location countries
  • 13.5median total_operational_hours
  • 8.0median active_hours
  • 0.80median idle_hours
Mean operational_efficiency by vehicle_type200 rows
040805.5truck36 rows9.4van36 rows9.0car32 rows3.9bus32 rows42.6motor…32 rows1.5other32 rows
operational_efficiency200 rows, in bands of 5
04080786921000023002545operational_efficiency →

Median 7.2, from 0.0 to 44.9.

fleet_id200 rows · top 10 of 28 values
  1. FLB10115
  2. FLD11212
  3. FLF00811
  4. FLJ03211
  5. FLA00210
  6. FLD05510
  7. FLN02110
  8. FLG04210
  9. FLB0199
  10. FLA0228
15 columns by typefrom the column list below
  • string 6
  • float 7
  • date 1
  • boolean 1

Columns

15 columns in four groups
blueprint · 15 columns
columntypedescriptionexample
Text 6 columns
vehicle_idstringUnique identifier for each vehicle in the fleetuniqueVH0001
fleet_idstringIdentifier for the fleet to which the vehicle belongsFLA101
vehicle_typestringType or category of the vehicle (e.g., truck, van, car)6 valuestruck
location_citystringCity where the vehicle was primarily operated on the given dateoptionalHouston
location_statestringState or region where the vehicle was primarily operated on the given dateoptionalTexas
location_countrystringCountry where the vehicle was primarily operated on the given dateoptionalUSA
Numbers 7 columns
total_operational_hoursfloatTotal hours the vehicle was available for operation on the given date0 or more24
active_hoursfloatTotal hours the vehicle was actively used (moving or performing tasks) on the given date0 or more2.1
idle_hoursfloatTotal hours the vehicle was idle (not in use but available) on the given date0 or more21.9
utilization_ratefloatPercentage of operational hours during which the vehicle was actively used (active_hours / total_operational_hours * 100)0 to 1008.75
distance_traveled_kmfloatTotal distance traveled by the vehicle in kilometers on the given date0 or more · optional14.5
fuel_consumed_litersfloatTotal fuel consumed by the vehicle in liters on the given date0 or more · optional3.2
operational_efficiencyfloatCalculated metric representing efficiency (e.g., distance_traveled_km / fuel_consumed_liters)0 or more · optional4.53
Dates and times 1 column
datedateDate for which the utilization metrics are recorded2024-06-01
True or false 1 column
maintenance_requiredbooleanIndicates if the vehicle required maintenance on the given dateoptionaltrue

Use it for

  • maintenance re…33%65 of 200 rowsmean operational effi…5.5truck9.4van9.0car3.9bus

    A transportation dashboard

    The maintenance_required rate, operational_efficiency by vehicle_type and a breakdown of fleet_id. Excel, Power BI or Tableau.

  • Why do the 32 motorcycle rows have a mean operational_efficiency of 42.6?

    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 date to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows15 columns
Yours1,000 rows15 columnslocation_city: UK only

blueprint · transportation-fleet-utilization-patterns

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 15 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
  • Vehicle ID and type tracked
  • Usage hours and routes logged
  • Idle periods annotated
  • Efficiency metrics calculated
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
transportation-fleet-utilization-patterns

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