| { |
| "network": { |
| "num_cities": "<int> Number of cities in the airline network.", |
| "city_names": "<list[str], length num_cities> Name of each city in the network.", |
| "num_legs": "<int> Number of flight legs in the network.", |
| "legs": [ |
| { |
| "leg_id": "<int> Unique identifier for this flight leg.", |
| "origin": "<str> City where this flight leg departs.", |
| "destination": "<str> City where this flight leg arrives.", |
| "capacity": "<int> Number of available seats on this flight leg." |
| } |
| ] |
| }, |
| "products": [ |
| { |
| "product_id": "<int> Unique identifier for this product.", |
| "origin_destination": "<str> Route of the itinerary, with intermediate stops separated by arrows.", |
| "class": "<str> Fare class of this product.", |
| "fare": "<float> Revenue earned per unit sold of this product.", |
| "legs_used": "<list[int]> Leg IDs of the flight legs consumed by one unit of this product." |
| } |
| ], |
| "segments": [ |
| { |
| "segment_id": "<int> Unique identifier for this customer segment.", |
| "lambda_l": "<float> Arrival rate of customers in this segment per period.", |
| "consideration_set": "<list[int]> Product IDs that customers in this segment would consider purchasing.", |
| "preference_vector": "<list[float], length len(consideration_set)> Preference weight of each product in the consideration set, in the same order.", |
| "no_purchase_preference": "<float> Preference weight for the no-purchase option for customers in this segment.", |
| "description": "<str> Brief label describing the segment's market and price sensitivity." |
| } |
| ], |
| "booking_horizon": { |
| "T": "<int> Number of discrete time periods in the booking horizon." |
| }, |
| "alpha": "<float> Capacity scarcity factor used to scale leg capacities.", |
| "lambda": "<float> Overall probability that a customer arrives in any single period." |
| } |
|
|
