4.8. fleet_averages_dict module

class fleet_averages_dict.FleetAverages(fleet_dict)

Bases: object

A FleetAverages object contains annual averages for vehicles by model year and by calendar year.

Parameters:

fleet_dict: Dictionary; contains fleet data, averages by model year and calendar year.

create_new_attributes()

Returns:

A list of new attributes to be calculated and provided in output files.

create_fleet_averages_dict(settings, fleet_df)

This function creates a dictionary of fleet average values and adds a discount rate element to the key. It also calculates an average annual VMT/vehicle and a cumulative annual average VMT/vehicle.

Parameters:

settings: The SetInputs class.

fleet_df: DataFrame; the project fleet DataFrame.

Returns:

A dictionary of the fleet having keys equal to ((vehicle), modelYearID, ageID, discount_rate) where vehicle is a tuple representing an alt_sourcetype_regclass_fueltype vehicle, and values representing per vehicle or per mile averages for each key over time.

update_dict(key, input_dict)

Parameters:

key: Tuple; the key of the dictionary instance.

input_dict: Dictionary; represents the attribute-value pairs to be updated.

Returns:

The dictionary instance with ‘attribute’ updated with ‘value.’

get_attribute_value(key, attribute)

Parameters:

key: Tuple; the key of the dictionary instance.

attribute: String; represents the attribute to be updated.

Returns:

The value of ‘attribute’ within the dictionary instance.

static calc_per_veh_cumulative_vmt(fleet_dict)

This function calculates cumulative average VMT/vehicle year-over-year for use in estimating a typical VMT per year and for estimating emission repair costs.

Parameters:

fleet_dict: Dictionary; represents the dictionary instance.

Returns:

The dictionary instance updated with cumulative annual average VMT/vehicle.

Note:

VMT does not differ across options.