One-To-Many rRaptor

Module contains One-To-Many rRAPTOR implementation

RAPTOR.one_to_many_rraptor.onetomany_rraptor(SOURCE: int, DESTINATION_LIST: list, d_time_groups, MAX_TRANSFER: int, WALKING_FROM_SOURCE: int, CHANGE_TIME_SEC: int, PRINT_ITINERARY: int, OPTIMIZED: int, routes_by_stop_dict: dict, stops_dict: dict, stoptimes_dict: dict, footpath_dict: dict, idx_by_route_stop_dict: dict) → list[source]

One-To-Many rRAPTOR implementation

Parameters

  • SOURCE (int) – stop id of source stop.

  • DESTINATION_LIST (list) – list of stop ids of destination stop.

  • d_time_groups (pandas.group) – all possible departures times from all stops.

  • MAX_TRANSFER (int) – maximum transfer limit.

  • WALKING_FROM_SOURCE (int) – 1 or 0. 1 means walking from SOURCE is allowed.

  • CHANGE_TIME_SEC (int) – change-time in seconds.

  • PRINT_ITINERARY (int) – 1 or 0. 1 means print complete path.

  • OPTIMIZED (int) – 1 or 0. 1 means collect trips and 0 means collect routes.

  • routes_by_stop_dict (dict) – preprocessed dict. Format {stop_id: [id of routes passing through stop]}.

  • stops_dict (dict) – preprocessed dict. Format {route_id: [ids of stops in the route]}.

  • stoptimes_dict (dict) – preprocessed dict. Format {route_id: [[trip_1], [trip_2]]}.

  • footpath_dict (dict) – preprocessed dict. Format {from_stop_id: [(to_stop_id, footpath_time)]}.

  • idx_by_route_stop_dict (dict) – preprocessed dict. Format {(route id, stop id): stop index in route}.

Returns

out (list): list of trips required to cover all optimal journeys Format: [trip_id] elif OPTIMIZED==0:

out (list): list of routes required to cover all optimal journeys. Format: [route_id]

Return type

if OPTIMIZED==1

Examples

>>> output = onetomany_rraptor(36, [52, 43], pd.to_datetime('2019-06-10 00:00:00'), 4, 1, 0, 1, 0, routes_by_stop_dict, stops_dict, stoptimes_dict, footpath_dict, idx_by_route_stop_dict)

See also

One-To-Many rTBTR