OSM2GTFS - a simple scripts to get GTFS from OSM

Some scripts to get GTFS from OSM in area id. Make sure that routes are in OSM PTv2 schema:

• each route has an public_transport:version=2, ref, name tag
• in each route relation the participants ordered like:

stop_entry_only: stop_position
platform_entry_only: platform
stop: stop_position
platform: platform
...
stop_exit_only: stop_position
platform_exit_only: platform
   : road segment 1 by trip continuality
   : road segment 2 by trip continuality
...
   : road segment N by trip continuality

By default scripts locate stop_position along route shape and gets stop2stop connections

osm_grabber

Download the script into your working directory:

from osm_grabber import OSM_Grabber
# Available types are bus, tram, trolleybus, subway, commuter 
# Each type of transport should be initialized separately 
# Enable stop2stop connections if you want to get L-space
trips, stops = OSM_Grabber(type='bus', network=None, operator=None, area=1430616).fetch(s2s=True)
# or save json's in directory
OSM_Grabber(type='bus', network=None, operator=None, area=1430616).fetch(s2s=True, out_dir='kja')

The JSON Schema of trips:

[
        {
            'platform_sequence': list, 
            'shape': wkt, 
            'colour': str, 
            'ref': str, 
            'route_id': <relation id>,
            'route_name': str
        }
]

The JSON Schema of stops:

[
        {
            'stop_id': <nwr id>, 
            'stop_name': str, 
            'stop_shape': wkt, 
            'wheelchair': str yes/no
        }
]

The JSON Schema of s2s:

[
    {
        'from': <stop id>,
        'to': <stop_id>,
        'shape': wkt,
        'length': float,
        'trip_ref': str,
        'trip_id': <relation id>
    }
]

These JSON's can be simply rebuilded into networkx DiGraph, because stops and s2s can be implemented as L-space of transit network

osm2gtfs

TBA