VVO SIRI ET Real-Time Data

Overview

Real-time transit data for the VVO/Oberelbe region is available as a SIRI ET (Estimated Timetable) feed, provided by DELFI e.V. via Germany's national data platform Mobilithek. SIRI (Service Interface for Real-time Information) is a European standard (CEN/TS 15531) for exchanging real-time public transport information.

The Oberelbe feed covers the full VVO network — trams, buses, regional rail, S-Bahn, and ferries — including real-time delay predictions, cancellations, occupancy levels, and platform assignments.

Data Access

Official Source (Mobilithek)

The canonical source is DELFI's Mobilithek offering:

Mobilithek page: mobilithek.info/offers/832220950725300224

Access requires registration on Mobilithek and activation by DELFI e.V.

Community Mirror (traines.eu)

A freely accessible mirror is maintained at stc.traines.eu:

Resource	URL
Latest feed	`https://stc.traines.eu/mirror/german-delfi-siri/oberelbe/latest-oberelbe.siri.xml`
Hourly snapshots	`https://stc.traines.eu/mirror/german-delfi-siri/oberelbe/{date}T{hour}+01:00/`
Long-term archive	`https://mirror.traines.eu/german-delfi-siri/oberelbe/`
GTFS-RT conversion	`https://stc.traines.eu/mirror/german-delfi-siri/gtfsrt/`

The latest feed is updated approximately every 5 minutes
Hourly snapshot directories contain individual timestamped XML files (~5 minute intervals)
The long-term archive at mirror.traines.eu stores daily archives as .tar.br (Brotli-compressed tar) files going back to October 2025
A GTFS-RT (protobuf) conversion of the combined Germany-wide SIRI data is also available

Feed Size

A typical latest-oberelbe.siri.xml file is ~12–15 MB of XML, containing around 1,200 vehicle journeys with ~20,000 estimated stop calls.

Data Format

The feed uses SIRI 2.0 XML with the EstimatedTimetableDelivery service. Each update contains a single EstimatedJourneyVersionFrame with all currently active vehicle journeys.

XML Structure

<?xml version="1.0" encoding="UTF-8"?>
<Siri xmlns="http://www.siri.org.uk/siri" version="2.0">
  <ServiceDelivery>
    <ResponseTimestamp>2026-02-22T19:49:51.452Z</ResponseTimestamp>
    <ProducerRef>rcsued-siri-vvo</ProducerRef>
    <EstimatedTimetableDelivery version="2.0">
      <EstimatedJourneyVersionFrame>
        <RecordedAtTime>2026-02-22T19:49:51.452Z</RecordedAtTime>

        <EstimatedVehicleJourney>
          <!-- Journey-level fields -->
          <RecordedAtTime>2026-02-22T20:28:30Z</RecordedAtTime>
          <LineRef>de:vvo:23-160</LineRef>
          <DirectionRef>1</DirectionRef>
          <PublishedLineName>160</PublishedLineName>
          <DirectionName>Weißeritzpark</DirectionName>
          <OperatorRef>vvorbl#!ADD!#VVO_ADB_DELFI_Out</OperatorRef>
          <ProductCategoryRef>RVS160</ProductCategoryRef>
          <Monitored>true</Monitored>

          <!-- Stop-level predictions -->
          <EstimatedCalls>
            <EstimatedCall>
              <StopPointRef>de:14612:140:1:1</StopPointRef>
              <AimedDepartureTime>2026-02-22T20:57:00Z</AimedDepartureTime>
              <ExpectedDepartureTime>2026-02-22T20:57:00Z</ExpectedDepartureTime>
            </EstimatedCall>
            <!-- ... more stops ... -->
          </EstimatedCalls>
          <IsCompleteStopSequence>true</IsCompleteStopSequence>
        </EstimatedVehicleJourney>

        <!-- ... more journeys ... -->
      </EstimatedJourneyVersionFrame>
    </EstimatedTimetableDelivery>
  </ServiceDelivery>
</Siri>

EstimatedVehicleJourney Fields

Field	Description	Example
`RecordedAtTime`	When this journey's data was last updated	`2026-02-22T20:28:30Z`
`LineRef`	DELFI line identifier	`de:vvo:23-160`
`DirectionRef`	Direction (typically `1` or `2`)	`1`
`PublishedLineName`	Public-facing line number	`160`, `4`, `S 1`, `RE1`
`DirectionName`	Destination/direction name	`Weißeritzpark`, `Prohlis`
`OperatorRef`	Operator identifier (suffixed with `#!ADD!#VVO_ADB_DELFI_Out`)	`DVB`, `vvorbl`, `CVAG`
`ProductCategoryRef`	Transport mode/product	`Tram`, `Bus`, `RE`, `RVS160`
`Monitored`	Whether real-time tracking is active	`true` / `false`
`PredictionInaccurate`	Whether predictions may be unreliable	`true` / `false`
`Cancellation`	Whether the entire journey is cancelled	`true` (only present when cancelled)
`ExtraJourney`	Whether this is an unscheduled extra service	`true` (only present for extras)
`VehicleJourneyRef`	Internal journey reference
`FramedVehicleJourneyRef`	Contains `DataFrameRef` (date) and `DatedVehicleJourneyRef` (trip ID)
`IsCompleteStopSequence`	Whether all stops of the trip are included	`true` / `false`

EstimatedCall Fields (Future Stops)

Field	Description	Example
`StopPointRef`	DHID stop identifier	`de:14612:140:1:1`
`VisitNumber`	Visit sequence number (typically `100`)	`100`
`AimedArrivalTime`	Scheduled arrival (UTC)	`2026-02-22T20:58:00Z`
`ExpectedArrivalTime`	Predicted arrival (UTC)	`2026-02-22T20:59:46Z`
`AimedDepartureTime`	Scheduled departure (UTC)	`2026-02-22T20:58:00Z`
`ExpectedDepartureTime`	Predicted departure (UTC)	`2026-02-22T20:59:46Z`
`ArrivalPlatformName`	Platform/track for arrival	`1`, `2`
`DeparturePlatformName`	Platform/track for departure	`1`, `2`
`DestinationDisplay`	Headsign/destination shown on vehicle	`Pl.d.Solidarität`
`Occupancy`	Current occupancy level	`seatsAvailable`, `standingAvailable`, `full`
`Cancellation`	Whether this specific stop is cancelled	`true`
`ExtraCall`	Whether this is an unscheduled extra stop	`true` / `false`
`PredictionInaccurate`	Whether this stop's prediction is unreliable	`true` / `false`

RecordedCall Fields (Past Stops)

Journeys may also contain <RecordedCalls> for stops the vehicle has already passed. These have the same fields as EstimatedCall but represent observed (not predicted) data.

Operators in the Feed

The Oberelbe feed covers 16 transit operators:

Operator ID	Name	Typical journeys
`DVB`	Dresdner Verkehrsbetriebe (tram, bus)	~400
`vvorbl`	VVO Regionalbus	~180
`CVAG`	Chemnitzer Verkehrs-AG	~170
`DDS-LB`	DB (Länderbahn, Vogtlandbahn etc.)	~110
`DDS-ODEG`	Ostdeutsche Eisenbahn	~110
`SVZ`	Städteverbindung Zwickau	~75
`DDIP-PSB`	DB (Personenverkehr Sachsen/Bayern)	~45
`MRBO`	Mitteldeutsche Regiobahn	~40
`RBM`	Regionalbus Mittelsachsen	~25
`BOS`	DB Bus Ost	~25
`RVE`	Regionalverkehr Erzgebirge	~25
`RVW`	Regionalverkehr Westsachsen	~15
`DRO`	Dresdner Nahverkehr	~3
`ownRBL`	Own dispatching system	~2
`FEG`	Freiberger Eisenbahngesellschaft	~1
`DDIP-VMIV`	DB (VMIV region)	~1

Journey counts are approximate and vary by time of day.

Transport Modes

The ProductCategoryRef field indicates the transport mode. Values found in the feed include:

Tram/Straßenbahn: Tram, TRAM, Strab, STRABA, Straßenbahn
Bus: Bus, BUS, Regionalbus, KOM
S-Bahn: RVSS 1, RVSS 3, RVSH/S
Regional rail: RE, RB, various operator-specific codes (MRBO#RE, FEG#RB, VBG, etc.)
Long-distance/express: TLX, ALX, EX, TL
Replacement services: SEV (Schienenersatzverkehr)
Specific bus lines: RVS100, RVS160, VGM400, RBO11, etc.

Stop ID Format

Stop IDs use the German DHID (Deutschlandweite Haltestellenkennung) format:

de:{district}:{stop}:{area}:{platform}

Examples:

de:14612:140:1:1 — Stop in district 14612 (Freital), stop 140, area 1, platform 1
de:14627:4218:1:1 — Stop in district 14627 (Dresden), stop 4218
cz:55413:683 — Czech stop (cross-border services to Czech Republic)

The district codes correspond to German administrative district numbers (Kreisschlüssel). Dresden is 14612 (city) and 14627.

Delay Detection

Delays are detected by comparing aimed and expected times:

from datetime import datetime

aimed = datetime.fromisoformat("2026-02-22T19:48:00+00:00")
expected = datetime.fromisoformat("2026-02-22T19:50:08+00:00")
delay_seconds = (expected - aimed).total_seconds()  # 128 seconds ≈ 2 min delay

When AimedDepartureTime equals ExpectedDepartureTime, the vehicle is on schedule. In a typical feed snapshot, roughly 15–20% of stop calls show a delay.

Example: Parsing with Python

import xml.etree.ElementTree as ET
from datetime import datetime

ns = {"s": "http://www.siri.org.uk/siri"}

tree = ET.parse("latest-oberelbe.siri.xml")
root = tree.getroot()

for journey in root.iter("{http://www.siri.org.uk/siri}EstimatedVehicleJourney"):
    line = journey.findtext("s:PublishedLineName", namespaces=ns)
    direction = journey.findtext("s:DirectionName", namespaces=ns)
    cancelled = journey.findtext("s:Cancellation", namespaces=ns) == "true"

    if cancelled:
        print(f"Line {line} -> {direction}: CANCELLED")
        continue

    for call in journey.iter("{http://www.siri.org.uk/siri}EstimatedCall"):
        stop = call.findtext("s:StopPointRef", namespaces=ns)
        aimed = call.findtext("s:AimedDepartureTime", namespaces=ns)
        expected = call.findtext("s:ExpectedDepartureTime", namespaces=ns)
        occupancy = call.findtext("s:Occupancy", namespaces=ns)
        platform = call.findtext("s:DeparturePlatformName", namespaces=ns)

        delay = ""
        if aimed and expected and aimed != expected:
            diff = datetime.fromisoformat(expected) - datetime.fromisoformat(aimed)
            delay = f" (+{int(diff.total_seconds())}s)"

        print(f"Line {line} -> {direction} | {stop} | {aimed}{delay}"
              + (f" | Platform {platform}" if platform else "")
              + (f" | {occupancy}" if occupancy else ""))

Related Resources

SIRI Standard (Wikipedia)
SIRI 2.0 Specification (CEN)
DELFI e.V. — German national transit data coordination
Mobilithek — Germany's national mobility data platform
GTFS Data — Alternative real-time format (GTFS-RT conversion available)
WebAPI — VVO's JSON API with per-stop real-time departures
TRIAS API — VVO's official XML API

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VVO SIRI ET Real-Time Data

Overview

Data Access

Official Source (Mobilithek)

Community Mirror (traines.eu)

Feed Size

Data Format

XML Structure

EstimatedVehicleJourney Fields

EstimatedCall Fields (Future Stops)

RecordedCall Fields (Past Stops)

Operators in the Feed

Transport Modes

Stop ID Format

Delay Detection

Example: Parsing with Python

Related Resources

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VVO SIRI ET Real-Time Data

Overview

Data Access

Official Source (Mobilithek)

Community Mirror (traines.eu)

Feed Size

Data Format

XML Structure

EstimatedVehicleJourney Fields

EstimatedCall Fields (Future Stops)

RecordedCall Fields (Past Stops)

Operators in the Feed

Transport Modes

Stop ID Format

Delay Detection

Example: Parsing with Python

Related Resources