PERIODIC VERTIPORT USAGE AND CAPACITY DATA EXCHANGE
Example embodiments are directed to providing periodic vertiport usage and capacity data exchange, A cloud service system generates, based on historical data, a flight operation set that comprises a simulation of flight operations for time buckets in the future, where the simulation of flight operations include transportation services between vertiports. The system then receives, within a predetermined time period of the time buckets, real-time data including weather forecasts and actual demand for transportation services. The real-time data is analyzed to determine any deviations from the flight operation set for the time buckets. The system then presents the flight operation set including any deviations. Additionally, the system receives, after the time buckets has passed, real-time data indicating actual flight operations, compares the real-time data to the flight operation set to identify deltas, and provides the deltas as feedback to refine the generating of future flight operation sets.
1 . A method comprising:
generating, based on historical data by one or more hardware processors of a cloud service system, a flight operation set that comprises a simulation of flight operations for one or more time buckets in the future, the simulation of flight operations include transportation services between vertiports;
receiving, within a predetermined time period of the one or more time buckets, real-time data including weather forecasts and actual demand for transportation services;
analyzing the real-time data to determine any deviations from the flight operation set for the one or more time buckets; and
causing presentation of the flight operation set including any deviations.
2 . The method of claim 1 , wherein the generating the flight operation set comprises:
creating the one or more time buckets that each represents a time slot during an operating period;
accessing historical data and known factors, at least some of the historical data and known factors corresponding to the operating period;
deriving potential trips for each time bucket; and
optimizing combinations of potential trips for each time bucket.
3 . The method of claim 1 , further comprising:
examining opportunity costs, the opportunity costs being based on the flight operation set;
based on the opportunity costs, determining costs for available capacity; and
offering the available capacity on a platform to other flight networks, the available capacity comprising a pad at a vertiport.
4 . The method of claim 3 , further comprising:
receiving acceptance of the available capacity from an entity of the other flight networks; and
assigning the available capacity to the entity.
5 . The method of claim 3 , further comprising:
receiving a counteroffer for the available capacity from an entity of the other flight networks;
accepting the counteroffer; and
assigning the available capacity to the entity.
6 . The method of claim 1 , further comprising:
providing the deviations as deltas to train a machine learning component of the cloud service system that generates the flight operation set.
7 . The method of claim 1 , further comprising:
providing the deviations as historical data used to refine generating of future flight operation sets.
8 . The method of claim 1 , wherein the generating, receiving, and analyzing continuously occurs for different time buckets.
9 . The method of claim 1 , further comprising:
determining based on the flight operation set that further capacity is needed during the one or more time buckets; and
requesting additional capacity from other flight networks.
10 . A method comprising:
based on historical data, generating, by an analysis component of a cloud service system, a flight operation set that comprises a simulation of flight operations for one or more time buckets in the future, the simulation of flight operations include transportation services between vertiports;
receiving, after the one or more time buckets has passed, real-time data indicating actual flight operations, the real-time data including factors that potentially have impact on the flight operations;
comparing, by one or more hardware processors of the cloud service system, the real-time data to the flight operation set to identify deltas; and
providing the deltas as feedback to the analysis component, the deltas being used to refine the generating of future flight operation sets.
11 . The method of claim 10 , wherein the factors comprise actual demand for the transportation service, weather conditions, and status of vertiports and aerial vehicles during the one or more time buckets.
12 . The method of claim 1 , wherein the generating the flight operation set comprises:
creating the one or more time buckets that each represents a time slot during an operating period;
accessing historical data and known factors, at least some of the historical data and known factors corresponding to the operating period;
deriving potential trips for each time bucket; and
optimizing combinations of potential trips for each time bucket.
13 . The method of claim 1 , further comprising:
examining opportunity costs, the opportunity costs being based on the flight operation set;
based on the opportunity costs, determining costs for available capacity; and
offering the available capacity on a platform to other flight networks, the available capacity comprising a pad at a vertiport.
14 . The method of claim 13 , further comprising:
receiving acceptance of the available capacity from an entity of the other flight networks; and
assigning the available capacity to the entity.
15 . The method of claim 13 , further comprising:
receiving a counteroffer for the available capacity from an entity of the other flight networks;
accepting the counteroffer; and
assigning the available capacity to the entity.
16 . The method of claim 11 , wherein providing the deltas as feedback to the analysis component comprises providing the delta as historical data used to refine the generating of the future flight operation sets.
17 . The method of claim 11 , wherein the generating, receiving, and analyzing continuously occurs for different time buckets.
18 . The method of claim 1 , further comprising:
determining based on the flight operation set that further capacity is needed during the one or more time buckets; and
requesting additional capacity from other flight networks.
19 . A system comprising:
one or more hardware processors; and
memory storing instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform operations comprising:
generating, based on historical data, a flight operation set that comprises a simulation of flight operations for one or more time buckets in the future, the simulation of flight operations include transportation services between vertiports;
receiving, within a predetermined time period of the one or more time buckets, real-time data including weather forecasts and actual demand for transportation services;
analyzing the real-time data to determine any deviations from the flight operation set for the one or more time buckets; and
causing presentation of the flight operation set including any deviations.
20 . The system of claim 19 , wherein the operations further comprise:
examining opportunity costs, the opportunity costs being based on the flight operation set;
based on the opportunity costs, determining costs for available capacity; and
offering the available capacity on a platform to other flight networks, the available capacity comprising a pad at a vertiport.