AIS data from AISDK, available on their FTP server.

Has different archive formats (zip,rar) and csv data formats (header, no header)

• |Combined GPS/GLONASS |
• |Not used |
• |Integrated navigation system|
• |GLONASS |
• |Chayka |
• |Galileo |
• |Internal |
• |Undefined |
• |Surveyed |
• |GPS |
• |Loran-C |

Data download area: https://data.oebb.at/#default/datasets

Trains only, no buses.

To create a gtfs.zip download all .txt files, then

rename 's/(.*).csv/$1.txt/' *.csv
zip gtfs.zip *.txt

licensed under Creative Commons Namensnennung 3.0 Österreich

Contains

• rail tracks and
• train stations/stops

GeoJSON and Shape EPSG: MGI Austria Lambert!

Useful attributes:

NAMECAT distinction between train station (Bahnhof) and stop (Haltestelle)

CROSSSECT/CROSS_NAME distinction between nach Eisenbahnstrecke single-track (eingleisig), double-track (zweigleisig), station area (Bahnhofsbereich) and stop area (Haltstellenbereich)

licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

GTFS, updated quarterly (as of April 2019)

I created a gtfs archive and checked it with transitfeed 1.2.16 (latest release available at that time):

TLDR: looks usable (but be sure to look into the block_id issue if you plan to use this column).

Long version: no errors, 4060 warnings.

383 Duplicate IDs in transfers.txt: these appear to be walking times within larger stations such as Innsbruck HBF or Salzburg HBF. Since additional columns (from_trip_id,to_trip_id) have been added (which are not documented in GTFS for transfers.txt), these must be changing times for specific trips.

59 Invalid Values in routes.txt: can be ignored, all flagged values

• 101
• 102
• 103
• 106
• 109

are contained in the extended route types. Also minor warnings about route_long_name and route_short_name.

1475 Overlapping Trips In Same Blocks in trips.txt: “Trip 348 and trip 349 both are in the same block 270 and have overlapping arrival times.”
The (optional) block_id field identifies the block to which the trip belongs. A block consists of a single trip or many sequential trips made using the same vehicle, defined by shared service day and block_id.

2139 Too Fast Travels: can be ignored since feedvalidator flags everything faster than 100km/h.

4 Unrecognized Columns in stops.txt: can be ignored, the column platform_code is not defined for stops.txt

JSON with 1109 shops.

Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Contains loads information like opening hours, accessibility.

I tried matching the ticket shop JSON with GeoJSON stops:

GEOJSON
pk_bfnr: nationale Bahnhofnummer, z.B. 1114
eva_bfnr: internationle Bahnhofnummer, z.B. 8100002.

JSON
GIP_OBID ID aus der Graphenintegrations-Plattform GIP, e.g. 15532299337
EXTERNALID Betriebsstellen-ID der ÖBB-Infrastruktur AG, e.g. 1235

but externalid to pk_bfnr does not produce valid matchings:

2511: FEATURENAME BST Wien Westbf

2511: 'bfname': u'Gobelsburg'