This project has been archived. You might consider https://github.com/mfdz/transit-stops-osm-comparison as an alternative.

GTFS/NVBW OSM Stop Comparison

This project provides some scripts to compare stops from official data sources (e.g. from DELFI e.V.) with stops extracted from OpenStreetMap.

Currently supported are the following stop sources:

• stops list Nahverkehrsgesellschaft Baden-Württemberg (NVBW)
• DELFI's zentrales Haltestellenverzeichnis (zHV)
• a GTFS file (Beta, developed for bwgesamt.zip, currently code makes various assumptions regarding the content )

Prerequisites

Data

To compare transit stops with osm data, you need

• an OSM pbf file covering the transit area, e.g. http://download.geofabrik.de/europe/germany/baden-wuerttemberg-latest.osm.pbf
• a stops file, e.g. curl --output zhv.zip -L https://scraped.data.public-transport.earth/de/zhv.zip
• a gtfs file e.g. curl --output gtfs-germany.zip -L https://data.public-transport.earth/gtfs/de

These can be downloaded e.g. with the provided scripts download_delfi_and_osm_data.sh or download_nvbw_and_osm_data.sh.

sqlite and spatialite on Mac

see e.g. https://medium.com/@carusot42/installing-and-loading-spatialite-on-macos-28bf677f0436

brew install sqlite3 
find /usr/local -path "*sqlite3" | grep -e "sqlite3$" | grep "/bin"
/usr/local/Cellar/sqlite/3.39.2/bin/sqlite3 out/stops-bw.db

Python requirements

Optionally, you might want to create a python environment to install needed libraries in an isolated environment:

makevirtualenv nosc

Then, you should install the required python libraries:

pip install -r requirements.txt

How to run

The GTFS/NVBW Stops comparison supports three official stop sources for comparison against OSM:

• DELFI's stop register (zHV)
• NVBW's stop register (zHV)
• GTFS feeds

Compare DELFI eV stops to OSM

python3 compare_stops.py -o data/germany-latest.osm.pbf -g data/gtfs-germany.zip -s data/zhv.csv -p DELFI -d out/stops.db

or, to just re-run the matching without reload OSM:

python3 compare_stops.py -g data/gtfs-germany.zip -s data/zhv.csv -p DELFI -d out/stops.db

or, to just re-run the matching without reloading any files, specify mode ( -m ) match:

python3 compare_stops.py -m match -p DELFI -d out/stops.db

Compare NVBW stops to OSM

python3 compare_stops.py -o data/baden-wuerttemberg-latest.osm.pbf -g data/gtfs-bw.zip -s data/zhv-bw.csv -d out/stops-bw.db -p NVBW -l out/matching.nvbw.log

Compare GTFS stops to OSM

The comparison option GTFS compares stops provide by a GTFS-Feed to OpenStreetMap. Note, that we currently apply some very NVBW-feed specific processing to these stops, which should be configurable and extendable for other feeds.

python3 compare_stops.py -o data/baden-wuerttemberg-latest.osm.pbf -g data/gtfs-bw.zip -d out/stops-bw.db -p GTFS 

python3 compare_stops.py -o data/baden-wuerttemberg-latest.osm.pbf -g data/gtfs-bw.zip -s data/zhv-bw.csv -d out/stops-bw.db -p NVBW -d out/stops-bw.db

This script will create a spatialite database, import the official stops and the osm stops, calculate probable match candidates and finally pick the most probable matches.

Docker

If you want to use this project via docker, proceed as follows:

Build the docker image via

docker build -t mfdz/gtfs-osm-stops-matcher .

Run the comparison via

docker run --rm -v $(PWD)/data:/usr/src/app/data -v $(PWD)/out:/usr/src/app/out mfdz/gtfs-osm-stops-matcher python compare_stops.py -o data/germany-latest.osm.pbf -s data/zhv.csv -g data/gtfs-germany.zip -p DELFI

docker run --rm -v $(PWD)/data:/usr/src/app/data -v $(PWD)/out:/usr/src/app/out mfdz/gtfs-osm-stops-matcher python compare_stops.py -g data/gtfs-germany.zip -p DELFI

Running tests

Run the tests by executing one of the commands respectively:

python3 -m unittest tests/test_stop_matcher.py

python3 -m unittest tests/test_match_picker.py