Infrabel

View API Documentation

Infrabel is the company which manages the railway infrastructure in Belgium. It provides a detailed map of the railway network in Belgium. They also provide a daily report of the lateness of the trains.

Source

Endpoints

Line sections

/infrabel/line-sections

GEOJSON APPLICATION/JSON

Segmentation of the rail network according to the characteristics of the infrastructure and the possibilities of operation. This list includes the route and technical characteristics of the line sections. Important note:

These data are to be associated with the data set of the network's Operational points. It geolocates the start and end points of the sections whose identifiers and abbreviations are given in this dataset.
These data are intended to allow schematic representations of the Belgian rail network (i.e. for a maximum scale of 1/25 000).

(source: https://opendata.infrabel.be/explore/dataset/lijnsecties/information)

From

2024-08-21 14:52:32

2026-04-07 04:20:04

Records

497

import requests
import geopandas as gpd

url = "https://api.mobilitytwin.brussels/infrabel/line-sections"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}).json()

gdf = gpd.GeoDataFrame.from_features(data["features"])

# Plot the Belgian rail network
gdf.plot(figsize=(12, 10), linewidth=0.5, color="darkblue")

# Compute total network length
gdf['length_km'] = gdf.geometry.length / 1000
print(f"Total rail network: {gdf['length_km'].sum():.0f} km")

Operational points

/infrabel/operational-points

GEOJSON APPLICATION/JSON

The operational points of the railway network in Belgium

From

2024-08-21 14:52:54

2026-04-07 03:15:10

Records

497

import requests
import geopandas as gpd

url = "https://api.mobilitytwin.brussels/infrabel/operational-points"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}).json()

gdf = gpd.GeoDataFrame.from_features(data["features"])

# Filter only stations (Gare)
stations = gdf[gdf['classification'] == 'Gare']
print(f"Total stations: {len(stations)}")
for _, s in stations.head(10).iterrows():
    print(f"  {s['longNameFr']} ({s['symbolicName']})")

# Plot all operational points
gdf.plot(figsize=(10, 8), markersize=5, color="navy")

Punctuality

/infrabel/punctuality

JSON APPLICATION/JSON

The daily report of the lateness of the trains

From

2024-08-22 03:30:35

2026-04-07 03:30:24

Records

495

import requests
import pandas as pd

url = "https://api.mobilitytwin.brussels/infrabel/punctuality"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}).json()

df = pd.DataFrame(data)

# Compute delay statistics
df['delay_min'] = df['delay_seconds'] / 60
avg_delay = df['delay_min'].mean()
late_trains = df[df['delay_min'] > 5]
print(f"Average delay: {avg_delay:.1f} min")
print(f"Trains >5min late: {len(late_trains)} / {len(df)}")

# Most delayed stations
worst = df.groupby('station_name')['delay_min'].mean().nlargest(10)
print("\nMost delayed stations:")
print(worst)

Segments

/infrabel/segments

GEOJSON APPLICATION/JSON

Geolocalised route of all railway tracks on the Infrabel network (not only the main tracks with a line number).

From

2024-08-21 14:52:55

2026-04-07 03:45:04

Records

495

import requests
import geopandas as gpd

url = "https://api.mobilitytwin.brussels/infrabel/segments"

data = requests.get(url, headers={
        'Authorization': 'Bearer [MY_API_KEY]'
}).json()

gdf = gpd.GeoDataFrame.from_features(data["features"])

# Compute segment lengths
gdf['length_km'] = gdf.geometry.length / 1000

# Show longest segments
longest = gdf.nlargest(5, 'length_km')[['segment_name', 'length_km']]
print("Longest rail segments:")
print(longest)

# Plot the full railway network
gdf.plot(figsize=(12, 10), linewidth=0.5, color="gray")