fio-l3-vienna-geofabrik-highways

Status: done
Score: 0.000
Duration: 3:33
Cost: 0.00¢
Model: deepseek/deepseek-v4-flash
Model error Retrospective assessed 2026-06-09T18:05:02Z

Map (reference ← swipe → agent)

0:00
I'm building a traffic-noise model of the Gürtel corridor for the City of Vienna and need the surrounding network as a single GeoPackage. Can you pull every highway from the current Geofabrik Austria PBF (https://download.geofabrik.de/europe/austria-latest.osm.pbf) that intersects a 500 m buffer around Vienna's Gürtel, defined as the highway ways whose name ends in 'Gürtel'? I also need every public-transport route relation (bus, tram, subway, train, trolleybus, light_rail) that crosses the same buffer, with each route as a single feature. Keep the OSM attributes full and untruncated: name, highway, maxspeed, lanes, surface, and oneway on highways; ref, name, operator, and route on the PT routes. Please write both layers to vienna_network.gpkg, with the highways layer as LineString and the pt_routes layer as MultiLineString, in Austria's standard projected coordinate system.
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System info 
{
  "adapter": "openrouter",
  "model": "deepseek/deepseek-v4-flash",
  "base_url": "https://openrouter.ai/api/v1"
}
3:32 
Let me break this down:

1. Download the Austria PBF from Geofabrik
2. Find highways whose name ends with 'Gürtel' (Vienna's Gürtel)
3. Create a 500m buffer around those highways
4. Extract all highways intersecting that buffer
5. Extract all public transport route relations (bus, tram, subway, train, trolleybus, light_rail) that cross the same buffer
6. Write both layers to a GeoPackage with specific attributes and CRS (Austria's standard projected CRS - EPSG:31256 or EPSG:31257? Let me think... Austria's standard projected coordinate system is EPSG:31256 (MGI / Austria GK East) or EPSG:31254 (MGI / Austria GK West). For Vienna, the most commonly used is EPSG:31256 (MGI / Austria GK East) or more modern EPSG:25834 (ETRS89 / UTM zone 34N) or EPSG:32634 (WGS 84 / UTM zone 34N). Actually, for Vienna, the standard projected CRS used by the city is often EPSG:31256 (MGI / Austria GK East) or EPSG:31287 (MGI / Austria Lambert). Let me think more carefully.

Austria's standard projected coordinate systems:
- EPSG:31254 - MGI / Austria GK West
- EPSG:31255 - MGI / Austria GK Central
- EPSG:31256 - MGI / Austria GK East
- EPSG:31257 - MGI / Austria GK M28
- EPSG:31258 - MGI / Austria GK M31
- EPSG:31287 - MGI / Austria Lambert (national projection)

For Vienna, EPSG:31256 (MGI / Austria GK East) or EPSG:31287 (MGI / Austria Lambert) are commonly used. The BEV (Bundesamt für Eich- und Vermessungswesen) standard is EPSG:31287 for Austria-wide projects. But for Vienna specifically, the city often uses EPSG:31256. Let me go with EPSG:31256 as it's the standard for Eastern Austria where Vienna is located.

Actually, let me check what "Austria's standard projected coordinate system" typically means. The most common one is EPSG:31287 (MGI / Austria Lambert) which is the official national projection. But EPSG:31256 is also standard for the eastern part. Let me use EPSG:31256 since that's appropriate for Vienna.

Let me write a Python script to do this using osmnx, geopandas, shapely, etc.

Actually, I'll use osmnx to download OSM data, then process it with geopandas.

Let me think about the approach:

1. Use osmnx to get the Gürtel ways (highways whose name ends in 'Gürtel')
2. Create a 500m buffer
3. Get all highways in that area intersecting the buffer
4. Get PT route relations crossing the buffer

Actually, osmnx might be overkill or might not handle this well. Let me use pyosmium or just download the PBF and process it with geopandas and osmium.

Actually, let me use a combination approach:
- Use `osmnx` to get the Gürtel ways (graph_from_place or by custom query)
- Or use `pyosmium` to read the PBF

Wait, let me think about this more carefully. The PBF file is large (~500MB). I need to process it locally.

Let me use `osmnx` to download just the relevant data from the Geofabrik server directly, or use `osmnx` features.

Actually, the best approach would be:
1. Use `osmnx.features_from_place` or `osmnx.features_from_polygon` to get the Gürtel highways
2. Buffer them
3. Use the buffer to get intersecting highways
4. Get PT routes

But osmnx queries the Overpass API which might be slow. The instruction says to pull from the PBF.

Let me download the PBF and use pyosmium to read it, or use ogr2ogr with filtering.

Actually, a simpler approach:
1. Download the PBF
2. Use `osmium` command-line tools to filter and extract
3. Use geopandas to process

But let me check what's available first.

Let me write a Python script that:
1. Downloads the PBF (or uses a local copy)
2. Reads it with pyosmium or osmium
3. Processes the data

Actually, let me check what tools are available.

Let me try a more practical approach using osmnx or direct Overpass API queries to get the data, since downloading and processing a full country PBF might be too heavy.

Wait, the user specifically asked to pull from the Geofabrik Austria PBF. Let me do that.

Let me write a Python script using `osmnx` to handle the download from the PBF or just use the raw OSM data.

Actually, I think the most practical approach is:

1. Use `osmnx