Bike counters

Traffic: counters, message signs, events and car parks

Format: GeoJSON
Updates: Daily
Latest snapshot: 2 Nov 2026, 04:00 UTC
Snapshots stored: about 701

curl -H "Authorization: Bearer $MOBILITYTWIN_TOKEN" "https://api.mobilitytwin.brussels/traffic/bike-counters"

Get a token

The positions of the Brussels bike counters. Their counts are in bike-count.

Which days have data

Data from 22 Aug 2024 to 2 Nov 2026, on 782 days. 29 of the last 30 days have data. A typical day holds 1 snapshot. Days are in UTC.

2026

JanFebMarAprMayJunJulAugSepOctNovDec

2025

JanFebMarAprMayJunJulAugSepOctNovDec

2024

JanFebMarAprMayJunJulAugSepOctNovDec

Full day
Partial, 50–90% of a typical day
Low, under 50%
No snapshot
Not expected

Get a day

Click a day above, or pick a date, to get its requests.

Parameters

Name	Meaning
`timestamp`	Return the last snapshot at or before this moment, in Unix seconds or ISO 8601 (e.g. `2026-05-06T12:00:00Z`). Without it, the latest snapshot is returned.

Response fields

A GeoJSON FeatureCollection. Field names without a prefix are in each feature's properties.

Field	Type
`active`	boolean
`basic_schema`	string
`descr_en`	string
`descr_fr`	string
`descr_nl`	string
`detailed_schema`	string
`device_name`	string
`lane_schema`	string
`picture_1`	string
`picture_2`	string
`road_en`	string
`road_fr`	string
`road_nl`	string
`requestDate`	string
`totalFeatures`	integer

Python example

import requests
import geopandas as gpd

from datetime import datetime, timedelta, timezone

yesterday_noon = (datetime.now(timezone.utc) - timedelta(days=1)).replace(
    hour=12, minute=0, second=0, microsecond=0
)
params = {
    "timestamp": yesterday_noon.isoformat(),   # ISO accepted; epoch also works
}

url = "https://api.mobilitytwin.brussels/traffic/bike-counters"

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

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

# List all active bike counters with their location
active = gdf[gdf['active'] == True]
for _, counter in active.iterrows():
    print(f"{counter['device_name']}: {counter.get('road_fr', 'N/A')}")

# Plot counter locations
active.plot(figsize=(10, 8), color="green", markersize=30)