Subway Preprocessor

Here you see a list of scripts that can be used for preprocessing all the metro systems in the world from OpenStreetMap. subway_structure.py produces a list of disjunct systems that can be used for routing and for displaying of metro maps.

How To Validate

• Choose transport data source:
  1. Download or update a planet file in o5m format (using osmconvert and osmupdate). Run osmfilter to extract a portion of data for all subways. Or
  2. If you don't specify --xml or --source option to the process_subways.py script it tries to fetch data over Overpass API. Not suitable for the whole planet or large countries.
• Run process_subways.py with appropriate set of command line arguments to build metro structures and receive a validation log.
• Run validation_to_html.py on that log to create readable HTML tables.

Validating of all metro networks

There is a process_subways.sh in the scripts directory that is suitable for validation of all or many metro networks. It relies on a bunch of environment variables and takes advantage of previous validation runs for effective recurring validations. See

./scripts/process_subways.sh --help

for details. Here is an example of the script usage:

export PLANET=https://ftp5.gwdg.de/pub/misc/openstreetmap/planet.openstreetmap.org/pbf/planet-latest.osm.pbf
export PLANET_METRO="$HOME/metro/planet-metro.o5m
export OSMCTOOLS="$HOME/osmctools"
export TMPDIR="$HOME/metro/tmp"
export HTML_DIR="$HOME/metro/tmp_html"
export DUMP="$HTML_DIR"

scripts/process_subways.sh

Set the PLANET_METRO variable to avoid the whole planet processing each time. Delete the file (but not the variable) to re-generate it if a new city has been added or a city's bbox has been extended.

Validating of a single city

A single city or a country with few metro networks can be validated much faster if you allow the process_subway.py to fetch data from Overpass API. Here are the steps:

1. Python3 interpreter required (3.5+)

2. Clone the repo

   git clone https://github.com/alexey-zakharenkov/subways.git subways_validator
   cd subways_validator
   

3. Execute

   python3 ./process_subways.py -c "London" \
       -l validation.log -d London.yaml

   here

   • -c stands for "city" i.e. network name from the google spreadsheet
   • -l - path to validation log file
   • -d (optional) - path to dump network info in YAML format
   • -i (optional) - path to save overpass-api JSON response
   • -j (optional) - path to output network GeoJSON (used for rendering)

   validation.log would contain the list of errors and warnings. To convert it into pretty HTML format

4. do

   mkdir html
   python3 ./validation_to_html.py validation.log html

Related external resources

Summary information about all metro networks that are monitored is gathered in the Google Spreadsheet.

Not so regular updates of validation results are available at this website.

Adding Stop Areas To OSM

To quickly add stop_area relations for the entire city, use the make_stop_areas.py script from the stop_area directory. Give it a bounding box or a .json file download from Overpass API. It would produce an JOSM XML file that you should manually check in JOSM. After that just upload it.

Author and License

The main scripts were originally written by Ilya Zverev for MAPS.ME and were published under Apache Licence 2.0 at https://github.com/mapsme/subways/.

This fork is maintained by Alexey Zakharenkov and is also published under Apache Licence 2.0.