polaris.network.transit.lib_gtfs.GTFSRouteSystemBuilder

polaris.network.transit.lib_gtfs.GTFSRouteSystemBuilder#

class polaris.network.transit.lib_gtfs.GTFSRouteSystemBuilder(network, agency_id, file_path, day='', description='', capacities: dict | None = None)#

Bases: WorkerThread

Container for GTFS feeds providing data retrieval for the importer

from polaris.network.network import Network

network_path = 'D:/Argonne/GTFS/CHICAGO/chicago2018-Supply.sqlite'
GTFS_path = 'D:/Argonne/GTFS/CHICAGO/METRA/2019-10-04.zip'

my_network = Network()
my_network.open(network_path)

transit = my_network.transit()

feed = transit.new_gtfs(file_path=GTFS_path
                        description='METRA Commuter Rail',
                        agency_identifier='METRA')

# In case you created the feed without providing an agency ID or description
feed.set_description('METRA Commuter Air Force')

# For a least of all dates covered by this feed
feed.dates_available()

# If you set it with the wrong feed and want to change it
feed.set_feed('D:/Argonne/GTFS/CHICAGO/METRA/2073-12-03.zip')

# To prevent map-matching to be performed and execute a faster import
feed.set_allow_map_match(False)

feed.load_date('2019-10-15')

# To save the transit raw-shapes to the database for later consult
feed.create_raw_shapes()

# To map-match the services in this feed
feed.map_match()
feed.execute_import()

__init__(network, agency_id, file_path, day='', description='', capacities: dict | None = None)#

Instantiates a transit class for the network

Args:

polaris network (Network): Supply model to which this GTFS will be imported agency_identifier (str): ID for the agency this feed refers to (e.g. ‘CTA’) file_path (str): Full path to the GTFS feed (e.g. ‘D:/project/my_gtfs_feed.zip’) day (str, Optional): Service data contained in this field to be imported (e.g. ‘2019-10-04’) description (str, Optional): Description for this feed (e.g. ‘CTA19 fixed by John after coffee’)

Methods

`__init__`(network, agency_id, file_path[, ...])	Instantiates a transit class for the network
`builds_link_graphs_with_broken_stops`()	Build the graph for links for a certain mode while splitting the closest links at stops' projection
`create_raw_shapes`()	Adds all shapes provided in the GTFS feeds to the TRANSIT_RAW_SHAPES table in the network file
`dates_available`()	Returns a list of all dates available for this feed
`doWork`()	Alias for execute_import
`execute_import`()
`finished`()
`load_date`(service_date)	Loads the transit services available for service_date
`map_match`([route_types])	Performs map-matching for all routes of one or more types
`save_to_disk`()	Saves all transit elements built in memory to disk
`set_agency_identifier`(agency_id)	Adds agency ID to this GTFS for use on import
`set_allow_map_match`([allow])	Changes behavior for finding transit-link shapes
`set_capacities`(capacities)	Sets default capacities for modes/vehicles.
`set_date`(service_date)	Sets the date for import without doing any of data processing, which is left for the importer
`set_description`(description)	Adds description to be added to the imported layers metadata
`set_do_raw_shapes`(do_shapes)	Sets the raw shapes importer to True for execution by the importer
`set_feed`(feed_path)	Sets GTFS feed source to be used
`set_maximum_speeds`(max_speeds)	Sets the maximum speeds to be enforced at segments.

Attributes

signal

signal = <polaris.utils.python_signal.PythonSignal object>#

__init__(network, agency_id, file_path, day='', description='', capacities: dict | None = None)#

Instantiates a transit class for the network

Args:

polaris network (Network): Supply model to which this GTFS will be imported agency_identifier (str): ID for the agency this feed refers to (e.g. ‘CTA’) file_path (str): Full path to the GTFS feed (e.g. ‘D:/project/my_gtfs_feed.zip’) day (str, Optional): Service data contained in this field to be imported (e.g. ‘2019-10-04’) description (str, Optional): Description for this feed (e.g. ‘CTA19 fixed by John after coffee’)

set_capacities(capacities: dict)#

Sets default capacities for modes/vehicles.

Args:

capacities (dict): Dictionary with GTFS types as keys, each with a list: of 3 items for values for capacities: seated, design and total i.e. -> “{0: [150, 300, 300],…}”

set_maximum_speeds(max_speeds: DataFrame)#

Sets the maximum speeds to be enforced at segments.

Args:: max_speeds (pd.DataFrame): Requires 4 fields: mode, min_distance, max_distance, speed. Modes not covered in the data will not be touched and distance brackets not covered will receive the maximum speed, with a warning

dates_available() → list#

Returns a list of all dates available for this feed

Returns:: feed dates (list): list of all dates available for this feed

set_allow_map_match(allow=True)#

Changes behavior for finding transit-link shapes

Defaults to True

Args:: allow (bool optional): If True, allows uses map-matching in search of precise transit_link shapes. If False, sets transit_link shapes equal to straight lines between stops. In the presence of GTFS raw shapes it has no effect.

map_match(route_types: List[int] | None = None) → None#

Performs map-matching for all routes of one or more types

Defaults to map-matching Bus routes (type 3) only For a reference of route types, see https://developers.google.com/transit/gtfs/reference#routestxt

Args:: route_types (List[int] or Tuple[int]): Default is [3], for bus only

set_agency_identifier(agency_id: str) → None#

Adds agency ID to this GTFS for use on import

Args:: agency_id (str): ID for the agency this feed refers to (e.g. ‘CTA’)

set_feed(feed_path: str) → None#

Sets GTFS feed source to be used

Args:: file_path (str): Full path to the GTFS feed (e.g. ‘D:/project/my_gtfs_feed.zip’)

set_description(description: str) → None#

Adds description to be added to the imported layers metadata

Args:: description (str): Description for this feed (e.g. ‘CTA2019 fixed by John Doe after strong coffee’)

set_date(service_date: str) → None#: Sets the date for import without doing any of data processing, which is left for the importer

load_date(service_date: str) → None#

Loads the transit services available for service_date

Args:: service_date (str): Day for which services are to be imported (e.g. ‘2019-10-04’)

set_do_raw_shapes(do_shapes: bool)#: Sets the raw shapes importer to True for execution by the importer

create_raw_shapes()#

Adds all shapes provided in the GTFS feeds to the TRANSIT_RAW_SHAPES table in the network file

This table is for debugging purposes, as allows the user to compare it with the result of the map-matching procedure.

All previously existing entries with this feed’s prefix ID are removed. For patterns with no corresponding shape on shapes.txt or in the absence of shapes.txt, the raw shape is generated by connecting stops directly.

doWork()#: Alias for execute_import

execute_import()#

save_to_disk()#: Saves all transit elements built in memory to disk

finished()#

builds_link_graphs_with_broken_stops()#

Build the graph for links for a certain mode while splitting the closest links at stops’ projection

Args:: mode_id (int): Mode ID for which we will build the graph for

polaris.network.transit.lib_gtfs.GTFSRouteSystemBuilder

Contents

polaris.network.transit.lib_gtfs.GTFSRouteSystemBuilder#