Transportation datasets

Traffic patterns, public transit, vehicle data

  • 78 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 78 cover1 square = 1 dataset
  • Emissions & ESG28
  • Transit & mobility13
  • Fleet & vehicles13
  • EV & charging11
  • Traffic & parking9
  • Routes4
Grouped by dataset title and tags.

78 datasets · page 4 of 4

Showing all 6 on this page

Traffic & parking

Transportation Ticket Sales Patterns

Route details, provider information, customer demographics, pricing

This dataset provides granular records of transportation ticket sales, including route details, provider information, customer demographics, pricing, and seat capacity. It enables comprehensive analysis of sales patterns, demand forecasting, and supports strategic decisions on pricing and resource allocation for transportation providers.

21 cols

  • ticket_sale_datetime
  • ticket_price
  • provider_name
  • route_origin
  • +17
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ticket_price
49.99
provider_name
MetroLine
route_origin
New York

Transit & mobility

Transportation Ridership Heatmap Data

Passenger boardings and alightings, vehicle types

This dataset provides detailed, time-stamped ridership counts across transportation routes and stops, including passenger boardings and alightings, vehicle types, and contextual factors such as weather and holidays. It enables granular analysis of transit demand patterns for network optimization, service planning, and infrastructure investment. The data is ideal for generating heatmaps, forecasting ridership, and identifying peak usage periods.

15 cols

  • route_name
  • vehicle_type
  • stop_name
  • stop_latitude
  • +11
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route_name
Downtown Express
vehicle_type
bus
stop_name
Central Station

Routes

Fleet Route Utilization Dataset

Vehicle and driver information, route details, trip timings, load

This dataset provides detailed records of fleet vehicle trips, including vehicle and driver information, route details, trip timings, load and fuel metrics, and utilization rates. It enables comprehensive analysis of fleet usage patterns, route coverage, and operational efficiency, supporting data-driven fleet optimization and strategic management.

20 cols

  • route_name
  • route_start_location
  • route_end_location
  • route_distance_km
  • +16
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route_name
East City Distribution Run
route_start_location
Central Depot
route_end_location
East City

Fleet & vehiclesTop 10 most opened

Telematics Vehicle Sensor Streams

Location, speed, engine parameters, and diagnostic codes

This dataset provides granular, time-stamped telematics sensor data from vehicles in a fleet, including location, speed, engine parameters, and diagnostic codes. It enables advanced fleet optimization, real-time monitoring, and predictive maintenance modeling, supporting data-driven decisions for operational efficiency and safety.

19 cols

  • sensor_fault_flag
  • latitude
  • longitude
  • speed_kph
  • +15
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sensor_fault_flag
false
latitude
34.0451
longitude
-118.2506

Routes

Vehicle Route Efficiency Scores

Efficiency scores for transportation routes

This dataset provides detailed efficiency scores for transportation routes, combining schedule adherence and resource utilization metrics to help optimize fleet operations and reduce costs. It includes route, vehicle, driver, timing, and performance data, making it ideal for analyzing and improving transportation efficiency across logistics networks.

17 cols

  • route_name
  • vehicle_type
  • efficiency_score
  • scheduled_departure_time
  • +13
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route_name
Central Loop
vehicle_type
Truck
efficiency_score
89.3

Transit & mobility

Trip Booking Cancellation Reasons

Transportation booking cancellations, capturing standardized

This dataset provides detailed logs of transportation booking cancellations, capturing standardized and free-text reasons, financial details, and operational context. It enables organizations to analyze cancellation patterns, identify operational bottlenecks, and optimize revenue retention strategies. The dataset is ideal for root-cause analysis, customer experience improvement, and predictive modeling of cancellations.

15 cols

  • cancellation_datetime
  • trip_start_datetime
  • cancellation_reason_code
  • cancellation_reason_text
  • +11
Open in factory
cancellation_reason_code
customer_request
cancellation_fee_applied
false
cancellation_fee_amount
0

What’s inside. Column by column.

Columns and codes found in the sample rows of all 78 transportation datasets.

Most common columnsDatasets, of 78
  1. vehicle_id49
  2. vehicle_type34
  3. route_id32
  4. fleet_id29
  5. log_id23
  6. fuel_type19
  7. driver_id18
  8. distance_km14
  9. fuel_consumed_liters14
Standard codes in the sample rowsDatasets, of 78
  1. ISO 3166 countries35
  2. VIN vehicles1
  3. ISO 4217 currencies1

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • Harsh braking: 2× accidents
  • Real van models
  • 3% missing odometer
Preview 20 rows freeNo signup. No card.
Accidents per 100 vans by harsh braking
06124Low5Medium10High1
Sample rows for: Telematics for 300 vans, where drivers who brake harshly have twice the accident rate, with real van models and 3% of odometer readings missing.
harsh_brakesmodelodometer_kmaccident
HighFord Transit84210yes
LowVW Crafter51230no
HighMercedes Sprinter—yes
MediumVauxhall Vivaro66020no

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