piebro/deutsche-bahn-data

Dataset

Deutsche Bahn Train Data

500 commits

2 linked in READMEs

updated Sep 24, 2026

See the code

README

Deutsche Bahn Train Data

This dataset contains public historical data from Deutsche Bahn, the largest German train company. It includes train schedules, delays, and cancellations from stations across Germany.

For more info visit the project page at GitHub: https://github.com/piebro/deutsche-bahn-data

Dataset Structure

Monthly Processed Data

The monthly processed data is located in monthly_processed_data/ and contains files named data-YYYY-MM.parquet.

Schema:

Column	Type	Description
`station_name`	string	Name of the station
`xml_station_name`	string	Station name from the XML response
`eva`	string	EVA station number (unique identifier)
`train_number`	string	Train number / Zugnummer, the raw `tl.n` value identifying a specific train run (e.g., "123", "12603"). Combine with `train_type` for a label like "ICE 123"
`line_number`	string	Line number / Liniennummer, the raw `ar.l`/`dp.l` value identifying the route, non-unique (e.g., "RB23", "14"); null for long-distance trains (ICE/IC/EC) where the API provides no line
`final_destination_station`	string	Final destination of the train
`delay_in_min`	integer	Delay in minutes
`time`	timestamp	Actual arrival or departure time
`arrival_is_canceled`	boolean	Whether the arrival at the train stop was canceled
`departure_is_canceled`	boolean	Whether the departure from the train stop was canceled
`train_type`	string	Type of train (e.g., "ICE", "IC", "RE")
`train_line_ride_id`	string	Unique identifier for the train ride
`train_line_station_num`	integer	Station number in the train's route
`arrival_planned_time`	timestamp	Planned arrival time
`arrival_change_time`	timestamp	Actual/changed arrival time
`departure_planned_time`	timestamp	Planned departure time
`departure_change_time`	timestamp	Actual/changed departure time
`id`	string	Unique identifier for the train stop

Raw Data

The raw data is located in raw_data/ and is partitioned by year={year}/month={month}/day={day}/. Each partition contains multiple parquet files with hourly data.

Schema:

Column	Type	Description
`timestamp`	timestamp	When the API request was made
`url`	string	The API endpoint URL that was queried
`api_name`	string	Name of the API (e.g., "timetables/v1/plan", "timetables/v1/fchg")
`query_params`	string	JSON string of query parameters used
`response_data`	string	Raw XML or JSON response from the API
`status_code`	string	HTTP status code of the response
`error`	string	Error message if the request failed
`duration_ms`	float	Request duration in milliseconds
`year`	integer	Year of the request (partition key)
`month`	integer	Month of the request (partition key)
`day`	integer	Day of the request (partition key)

License

The dataset is licensed under Attribution 4.0 International (CC BY 4.0) by Deutsche Bahn.

Acknowledgments

Data sourced from Deutsche Bahn's public APIs. Special thanks to Deutsche Bahn for providing open access to this data.

delays

deutsche-bahn

germany

timetables

trains

transportation

Contributors

piebro

500 commits

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piebro/deutsche-bahn-data

Dataset

Deutsche Bahn Train Data

500 commits

2 linked in READMEs

updated Sep 24, 2026

See the code

README

Deutsche Bahn Train Data

This dataset contains public historical data from Deutsche Bahn, the largest German train company. It includes train schedules, delays, and cancellations from stations across Germany.

For more info visit the project page at GitHub: https://github.com/piebro/deutsche-bahn-data

Dataset Structure

Monthly Processed Data

The monthly processed data is located in monthly_processed_data/ and contains files named data-YYYY-MM.parquet.

Schema:

Column	Type	Description
`station_name`	string	Name of the station
`xml_station_name`	string	Station name from the XML response
`eva`	string	EVA station number (unique identifier)
`train_number`	string	Train number / Zugnummer, the raw `tl.n` value identifying a specific train run (e.g., "123", "12603"). Combine with `train_type` for a label like "ICE 123"
`line_number`	string	Line number / Liniennummer, the raw `ar.l`/`dp.l` value identifying the route, non-unique (e.g., "RB23", "14"); null for long-distance trains (ICE/IC/EC) where the API provides no line
`final_destination_station`	string	Final destination of the train
`delay_in_min`	integer	Delay in minutes
`time`	timestamp	Actual arrival or departure time
`arrival_is_canceled`	boolean	Whether the arrival at the train stop was canceled
`departure_is_canceled`	boolean	Whether the departure from the train stop was canceled
`train_type`	string	Type of train (e.g., "ICE", "IC", "RE")
`train_line_ride_id`	string	Unique identifier for the train ride
`train_line_station_num`	integer	Station number in the train's route
`arrival_planned_time`	timestamp	Planned arrival time
`arrival_change_time`	timestamp	Actual/changed arrival time
`departure_planned_time`	timestamp	Planned departure time
`departure_change_time`	timestamp	Actual/changed departure time
`id`	string	Unique identifier for the train stop

Raw Data

The raw data is located in raw_data/ and is partitioned by year={year}/month={month}/day={day}/. Each partition contains multiple parquet files with hourly data.

Schema:

Column	Type	Description
`timestamp`	timestamp	When the API request was made
`url`	string	The API endpoint URL that was queried
`api_name`	string	Name of the API (e.g., "timetables/v1/plan", "timetables/v1/fchg")
`query_params`	string	JSON string of query parameters used
`response_data`	string	Raw XML or JSON response from the API
`status_code`	string	HTTP status code of the response
`error`	string	Error message if the request failed
`duration_ms`	float	Request duration in milliseconds
`year`	integer	Year of the request (partition key)
`month`	integer	Month of the request (partition key)
`day`	integer	Day of the request (partition key)