Stib

View API Documentation

STIB is the main public transport operator in Brussels. It has its own open data platform which provides different data sets. The GTFS feed is used to provide the schedule of the vehicles. Contrary to the SNCB and other operators, the STIB does not provide a GTFS-RT feed. It provides different proprietary APIs to get the real-time data. The MobilityTwin.Brussels platform provides a vehicle_position endpoint which provides the estimated positions of the vehicles based on the GTFS feed and the proprietary APIs. It also provides the vehicle_schedule endpoint which provides the schedule of the vehicles per stop for a given period of time.

Source

Endpoints

Gtfs

/stib/gtfs

GTFS APPLICATION/ZIP

The GTFS zip file of STIB/MIVB

From

2024-08-24 06:20:01

2026-02-23 05:20:01

Records

497

import gtfs_kit as gk
import requests
import tempfile

url = "https://api.mobilitytwin.brussels/stib/gtfs"

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

with tempfile.NamedTemporaryFile(delete=False) as f:
    f.write(data)

feed = gk.read_feed(f.name, 'm')

Segments

/stib/segments

GEOJSON APPLICATION/JSON

The segments of the STIB/MIVB network

From

2024-08-21 14:48:24

2026-02-23 04:20:01

Records

502

Stops

/stib/stops

GEOJSON APPLICATION/JSON

The stops of STIB/MIVB. The data was enriched and cleaned for easier use.

From

2024-08-21 14:48:23

2025-01-20 01:22:08

Records

107

import requests
import geopandas as gpd

url = "https://api.mobilitytwin.brussels/stib/stops"

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

gdf = gpd.GeoDataFrame.from_features(data["features"])
# Plot the GeoDataFrame
gdf.plot()

Vehicle distance

/stib/vehicle-distance

JSON APPLICATION/JSON

This endpoint provides the raw data of the STIB/MIVB proprietary API which returns the distance of each vehicle since the last stop.

From

2023-02-24 17:55:46

2026-02-23 19:46:12

Records

4,122,562

import requests
import json

url = "https://api.mobilitytwin.brussels/stib/vehicle-distance"

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

Vehicle position

/stib/vehicle-position

GEOJSON APPLICATION/JSON

The estimated positions of the vehicles based on the GTFS feed and the proprietary APIs. Because the STIB/MIVB proprietary API does not provide the identity of the vehicles, the MobilityTwin.Brussels platform also performs computations to attribute a unique identity to each vehicle along a given trip. These ids do not correspond to the ids of the GTFS feed but are rather generated randomly. The ids are unique for a given trip

From

2024-08-21 14:54:58

2026-02-23 19:45:31

Records

2,152,887

import requests
import geopandas as gpd

url = "https://api.mobilitytwin.brussels/stib/vehicle-position"

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

gdf = gpd.GeoDataFrame.from_features(data["features"])
# Plot the GeoDataFrame
gdf.plot()

Speed

/stib/speed

JSON APPLICATION/JSON

The average speed of the vehicles of STIB/MIVB on a 20 seconds interval, per line, stop and direction.

From

2024-08-21 14:54:58

2026-02-23 19:46:12

Records

2,227,157

import requests

url = "https://api.mobilitytwin.brussels/stib/speed"

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

Aggregated speed

/stib/aggregated-speed

JSON APPLICATION/JSON

The average speed of the vehicles of STIB/MIVB on a 10 minutes interval, per line, stop and direction.

From

2024-08-21 15:01:24

2026-02-23 19:46:12

Records

2,153,938

import requests

url = "https://api.mobilitytwin.brussels/stib/aggregated-speed"

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

Trips

/stib/trips

MF-JSON APPLICATION/JSON

All the trips of STIB/MIVB for the specified period of time. This is an aggregate of the GeoJSON files returned by the vehicle-position endpoint of MobilityTwin.Brussels.

Availability depends on source data

import requests
import movingpandas as mpd

url = "https://api.mobilitytwin.brussels/stib/trips"

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

mdf = mpd.io.read_mf_dict(data, traj_id_property="uuid")
# Plot the trajectories
mdf.plot()

Shapefile

/stib/shapefile

GEOJSON APPLICATION/JSON

The shapefile of STIB/MIVB

From

2024-08-21 14:48:24

2026-02-23 04:20:01

Records

502

import requests
import geopandas as gpd

url = "https://api.mobilitytwin.brussels/stib/shapefile"

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

gdf = gpd.GeoDataFrame.from_features(data["features"])
# Plot the GeoDataFrame
gdf.plot()