TMC event codes
Traffic: counters, message signs, events and car parks
- Format
- GeoJSON
- Updates
- Weekly
- Latest snapshot
- Snapshots stored
- about 8
curl -H "Authorization: Bearer $MOBILITYTWIN_TOKEN" "https://api.mobilitytwin.brussels/traffic/tmc-event-codes"TMC (Traffic Message Channel) event codes reference data used for classifying traffic events in Brussels.
Which days have data
Data from 29 Apr 2026 to 2 Nov 2026, on 8 days. 4 of the last 30 days have data. A typical day holds 1 snapshot. Days are in UTC.
2026
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
A GeoJSON FeatureCollection. Field names without a prefix are in each feature's properties.
| Field | Type |
|---|---|
datex_code | string |
descr_fr | string |
descr_nl | string |
descr_en | string |
datex1_uri | string |
datex2_class | string |
datex2_enum_value | string |
Python example
import requests
import pandas as pd
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/tmc-event-codes"
data = requests.get(url, headers={
'Authorization': 'Bearer [MY_API_KEY]'
}, params=params).json()
# Build a lookup table of TMC event codes
codes = pd.DataFrame([f['properties'] for f in data['features']])
print("TMC Event Codes:")
print(codes[['datex_code', 'descr_en', 'datex2_class']].to_string(index=False))