fasttrips.PathSet

class fasttrips.PathSet(trip_list_dict)[source]

Represents a path set for a passenger from an origin TAZ to a destination TAZ through a set of stops.

__init__(trip_list_dict)[source]: Constructor from dictionary mapping attribute to value.

Methods

`__init__`(trip_list_dict)	Constructor from dictionary mapping attribute to value.
`calculate_cost`(STOCH_DISPERSION, ...[, ...])	This is equivalent to the C++ Path::calculateCost() method.
`calculate_overlap`(pathset_links_to_use)	Given a set of pathset links, returns a the results of overlap calculations.
`goes_somewhere`()	Does this path go somewhere? Does the destination differ from the origin?
`num_paths`()	Number of paths in the PathSet
`path_found`()	Was a a transit path found from the origin to the destination with the constraints?
`reset`()	Delete my states, something went wrong and it won't work out.
`set_user_class`(trip_list_df, new_colname)	Adds a column called user_class by applying the configured user class function.
`split_transit_links`(pathset_links_df, ...)	Splits the transit links to their component links and returns.
`verify_weight_config`(modes_df, output_dir, ...)	Verify that we have complete weight configurations for the user classes and modes in the given DataFrame.
`verify_weights`(weights)
`write_path_times`(passengers_df, output_dir)	Write the assigned path times to the given output file.
`write_paths`(passengers_df, output_dir)	Write the assigned paths to the given output file.

Attributes

`ARRIVE_LATE_ALLOWED_MIN`	Allow departures and arrivals before / after preferred time
`BUMP_EXPERIENCED_COST`
`BUMP_FLAG_COLUMN`
`CONFIGURED_FUNCTIONS`	Configured functions, indexed by name
`CONSTANT_GROWTH_MODEL`
`DEPART_EARLY_ALLOWED_MIN`
`DIR_INBOUND`	Trips inbound to home have preferred departure times
`DIR_OUTBOUND`	Trips outbound from home have preferred arrival times
`EXP_GROWTH_MODEL`
`HUGE_COST`
`LEARN_ROUTES`
`LEARN_ROUTES_RATE`
`LOGARITHMIC_GROWTH_MODEL`
`LOGISTIC_GROWTH_MODEL`
`MIN_TRANSFER_PENALTY`	Configuration: Minimum transfer penalty.
`OUTPUT_WEIGHTS_FILE`	File with weights for c++
`OVERLAP_CHUNK_SIZE`	Overlap chunk size.
`OVERLAP_COUNT`	Overlap variable option: count.
`OVERLAP_DISTANCE`	Overlap variable option: distance.
`OVERLAP_NONE`	Overlap variable option: None.
`OVERLAP_SCALE_PARAMETER`	Configuration: Overlap scale parameter.
`OVERLAP_SPLIT_TRANSIT`	Overlap option: Split transit leg into component parts? e.g.
`OVERLAP_TIME`	Overlap variable option: time.
`OVERLAP_VARIABLE`	Configuration: Overlap variable.
`OVERLAP_VARIABLE_OPTIONS`	Valid values for OVERLAP_VARAIBLE
`PATHS_OUTPUT_FILE`	Paths output file
`PATH_KEY_COST`	path cost according to pathfinder
`PATH_KEY_FARE`	path fare according to pathfinder
`PATH_KEY_INIT_COST`	initial cost (in pathfinding, before path was finalized)
`PATH_KEY_INIT_FARE`	initial fare (in pathfinding, before path was finalized)
`PATH_KEY_PROBABILITY`	path probability according to pathfinder
`PATH_KEY_STATES`
`PATH_TIMES_OUTPUT_FILE`	Path times output file
`PENALTY_GROWTH_MODELS`
`STATE_IDX_ARRDEP`	`datetime.datetime` instance.
`STATE_IDX_COST`	cost float, for hyperpath/stochastic assignment
`STATE_IDX_DEPARR`	`datetime.datetime` instance.
`STATE_IDX_DEPARRMODE`	mode id
`STATE_IDX_LABEL`	`datetime.timedelta` instance
`STATE_IDX_LINKCOST`	link generalized cost, float for hyperpath/stochastic,
`STATE_IDX_LINKDIST`	link distance, float
`STATE_IDX_LINKFARE`	fare cost, float
`STATE_IDX_LINKTIME`	`datetime.timedelta` instance
`STATE_IDX_SEQ`	sequence (for trip)
`STATE_IDX_SEQ_SUCCPRED`	sequence for successor/predecessor
`STATE_IDX_SUCCPRED`	stop identifier or TAZ identifier
`STATE_IDX_TRIP`	trip id
`STATE_MODE_ACCESS`
`STATE_MODE_EGRESS`
`STATE_MODE_TRANSFER`
`STATE_MODE_TRIP`
`SUCCESS_FLAG_COLUMN`
`USER_CLASS_FUNCTION`	Path configuration: Name of the function that defines user class
`WEIGHTS_COLUMN_DEMAND_MODE`	Weights column: Demand Mode Type
`WEIGHTS_COLUMN_DEMAND_MODE_TYPE`	Weights column: Demand Mode Type
`WEIGHTS_COLUMN_PURPOSE`	Weights column: Purpose
`WEIGHTS_COLUMN_SUPPLY_MODE`	Weights column: Supply Mode
`WEIGHTS_COLUMN_SUPPLY_MODE_NUM`	Weights column: Supply Mode number
`WEIGHTS_COLUMN_USER_CLASS`	Weights column: User Class
`WEIGHTS_COLUMN_WEIGHT_NAME`	Weights column: Weight Name
`WEIGHTS_COLUMN_WEIGHT_VALUE`	Weights column: Weight Value
`WEIGHTS_DF`	Path weights
`WEIGHTS_FILE`	File with weights file.
`WEIGHTS_FIXED_WIDTH`	Read weights file as fixed-width format.
`WEIGHTS_GROWTH_LOGISTIC_MAX`	Weights column: Max value for logistic growth function
`WEIGHTS_GROWTH_LOGISTIC_MID`	Weights column: Midpoint value for logistic growth function
`WEIGHTS_GROWTH_LOG_BASE`	Weights column: Log Base for logarithmic growth function
`WEIGHTS_GROWTH_TYPE`	Weights column: Growth Type
`WEIGHT_NAME_ARRIVE_EARLY_MIN`
`WEIGHT_NAME_ARRIVE_LATE_MIN`
`WEIGHT_NAME_DEPART_EARLY_MIN`
`WEIGHT_NAME_DEPART_LATE_MIN`
`WEIGHT_NAME_VALID_NAMES`
`pathdict`	Dict of path-num -> { cost:, probability:, states: [List of (stop_id, stop_state)]}