Tunnels
Traffic: counters, message signs, events and car parks
- Format
- JSON
- Updates
- Every minute
- Latest snapshot
- Snapshots stored
- about 1,080,111
curl -H "Authorization: Bearer $MOBILITYTWIN_TOKEN" "https://api.mobilitytwin.brussels/traffic/tunnels"
Live vehicle counts, speed and occupancy from the detectors in the Brussels tunnels, keyed by detector. Only the 1-minute bins are filled. For positions, join with tunnel-devices on traverse_name.
Which days have data
Data from 21 Aug 2024 to 2 Nov 2026, on 793 days. 30 of the last 30 days have data. A typical day holds 1368 snapshots. 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
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
| Field | Type |
|---|---|
data.{DEVICE_ID_STRING}.results.15m.t1.count | integer |
data.{DEVICE_ID_STRING}.results.15m.t1.end_time | string |
data.{DEVICE_ID_STRING}.results.15m.t1.occupancy | number |
data.{DEVICE_ID_STRING}.results.15m.t1.speed | number |
data.{DEVICE_ID_STRING}.results.15m.t1.start_time | string |
data.{DEVICE_ID_STRING}.results.15m.t2.count | integer |
data.{DEVICE_ID_STRING}.results.15m.t2.end_time | string |
data.{DEVICE_ID_STRING}.results.15m.t2.occupancy | number |
data.{DEVICE_ID_STRING}.results.15m.t2.speed | number |
data.{DEVICE_ID_STRING}.results.15m.t2.start_time | string |
data.{DEVICE_ID_STRING}.results.1m.t1.count | integer |
data.{DEVICE_ID_STRING}.results.1m.t1.end_time | string |
data.{DEVICE_ID_STRING}.results.1m.t1.occupancy | number |
data.{DEVICE_ID_STRING}.results.1m.t1.speed | number |
data.{DEVICE_ID_STRING}.results.1m.t1.start_time | string |
data.{DEVICE_ID_STRING}.results.1m.t2.count | integer |
data.{DEVICE_ID_STRING}.results.1m.t2.end_time | string |
data.{DEVICE_ID_STRING}.results.1m.t2.occupancy | number |
data.{DEVICE_ID_STRING}.results.1m.t2.speed | number |
data.{DEVICE_ID_STRING}.results.1m.t2.start_time | string |
data.{DEVICE_ID_STRING}.results.5m.t1.count | integer |
data.{DEVICE_ID_STRING}.results.5m.t1.end_time | string |
data.{DEVICE_ID_STRING}.results.5m.t1.occupancy | number |
data.{DEVICE_ID_STRING}.results.5m.t1.speed | number |
data.{DEVICE_ID_STRING}.results.5m.t1.start_time | string |
data.{DEVICE_ID_STRING}.results.5m.t2.count | integer |
data.{DEVICE_ID_STRING}.results.5m.t2.end_time | string |
data.{DEVICE_ID_STRING}.results.5m.t2.occupancy | number |
data.{DEVICE_ID_STRING}.results.5m.t2.speed | number |
data.{DEVICE_ID_STRING}.results.5m.t2.start_time | string |
data.{DEVICE_ID_STRING}.results.60m.t1.count | integer |
data.{DEVICE_ID_STRING}.results.60m.t1.end_time | string |
data.{DEVICE_ID_STRING}.results.60m.t1.occupancy | number |
data.{DEVICE_ID_STRING}.results.60m.t1.speed | number |
data.{DEVICE_ID_STRING}.results.60m.t1.start_time | string |
data.{DEVICE_ID_STRING}.results.60m.t2.count | integer |
data.{DEVICE_ID_STRING}.results.60m.t2.end_time | string |
data.{DEVICE_ID_STRING}.results.60m.t2.occupancy | number |
data.{DEVICE_ID_STRING}.results.60m.t2.speed | number |
data.{DEVICE_ID_STRING}.results.60m.t2.start_time | string |
requestDate | string |
Python example
import requests
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/tunnels"
data = requests.get(url, headers={
'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()
# Show real-time traffic per tunnel device
for device_id, device_data in data['data'].items():
results = device_data['results']
# Get 15-minute aggregate
r = results['15m']
for lane, stats in r.items():
if stats['speed'] is None: # no measurement for this lane in the period
continue
print(f"{device_id} ({lane}): {stats['count']} vehicles, "
f"speed={stats['speed']:.0f} km/h, occupancy={stats['occupancy']:.1f}%")