Missions

Missions, i.e., flights to be simulated by AEIC, are currently represented by the simple Mission class. The Mission class represents only flights following a great circle route between origin and destination airports. It cannot represent “as-flown” trajectories from ADS-B data or other sources.

class AEIC.missions.Mission(origin: str, destination: str, departure: pandas.Timestamp, arrival: pandas.Timestamp, load_factor: float, aircraft_type: str, flight_id: int | None = None)
Parameters:

  • origin (str)

  • destination (str)

  • departure (Timestamp)

  • arrival (Timestamp)

  • load_factor (float)

  • aircraft_type (str)

  • flight_id (int | None)

aircraft_type: str

Aircraft type (ICAO code).

arrival: Timestamp

Arrival time (UTC).

departure: Timestamp

Departure time (UTC).

destination: str

IATA code of destination airport.

property destination_position: Position

Spatial position (3-D) of destination airport.

flight_id: int | None = None

Unique flight identifier from mission database (if available).

classmethod from_query_result(qr, load_factor=1.0)

Create a Mission instance from a QueryResult instance.

This is used for generating missions from mission database queries.

Parameters:
Return type:

Mission

classmethod from_toml(data)

Create a list of Mission instances from a TOML-like dictionary.

This is used for parsing sample mission data.

Parameters:

data (dict)

Return type:

list[Mission]

property gc_distance: float

Great circle distance between departure and arrival positions (m).

load_factor: float

Load factor (between 0 and 1).

origin: str

IATA code of origin airport.

property origin_position: Position

Spatial position (3-D) of origin airport.