Methods for forecasting flight paths, and associated systems, devices, and software

• US 8,914,233 B2
• Filed: 07/06/2010
• Issued: 12/16/2014
• Est. Priority Date: 07/06/2010
• Status: Expired due to Fees

• Current Assignee: AppOven, LLC
• Original Assignee: AppOven, LLC
• Inventors: Tseng, Philip
• Primary Examiner(s): Cheung, Calvin
• Assistant Examiner(s): Troost, Aaron L
• Application Number:
  US12/831,079
• Publication Number:
  US 20120010806A1
• Time in Patent Office: 1,624 Days
• Field of Search: 701/201, 701/1, 701/4, 701/202, 701/516, 701/517, 701/528, 701/454, 702/150, 345/173, 348/231.3, 348/116, 340/903, 340/973, 463/9
• US Class Current: 701/454
• CPC Class Codes: A63F 2300/406 Transmission via wireless network, e.g. pager or GSM
• CPC Class Codes: A63F 2300/8064 Quiz
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G08G 5/00 Traffic control systems for aircraft , e.g. air-traffic control [ATC]
• CPC Class Codes: H04W 4/02 Services making use of location information

Abstract

Mobile computing device implemented methods, and associated systems, devices, and software for forecasting flight paths associated with a unique-flight. Methods may include prior to departure of the unique-flight, retrieving from a flight-data-server via the Internet an initial-forecasted-flight-path based on flight-path-data for the unique-flight, and displaying indicia associated with the initial-forecasted-flight-path.

Claims

1. A mobile computing device implemented method for creating an interactive experience for a non-flight-crew traveler of a unique-flight from an origin to a destination, the method comprising:

prior to departure of the unique-flight, requesting and receiving, by the mobile computing device, from the non-flight-crew traveler unique-flight-data that identifies the unique-flight;

prior to departure of the unique-flight, retrieving, by the mobile computing device, from a flight-data-server via the Internet an initial flight-path for the unique-flight; and

after departure of the unique-flight and prior to arrival of the unique-flight;

requesting and receiving, by the mobile computing device, from the non-flight-crew traveler an actual departure time;

calibrating, by the mobile computing device, an updated flight-path based on the initial flight-path and the actual departure time received from the non-flight-crew traveler, wherein the updated flight-path is a function of a location of the unique-flight and time;

predicting, by the mobile computing device, a predicted current location of the unique-flight based at least in part on the actual departure time received from the non-flight-crew traveler; and

displaying, by the mobile computing device, to the non-flight-crew traveler on a display of the mobile computing device indicia associated with the updated flight-path, wherein the indicia includes a map, a flight line on the map, and the predicted current location of the unique-flight on the map.

2. The method of claim 1, wherein the calibrating, the predicting, and the displaying are performed with the mobile computing device in its airplane mode with wireless communication disabled, without access to the Internet, and without access to a global positioning system.

3. The method of claim 1, further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight and with the mobile computing device in its airplane mode with wireless communication disabled, without access to the Internet, and without access to a global positioning system;

receiving, by the mobile computing device, from the non-flight-crew traveler an approximate current location of the unique-flight;

wherein the predicting is further based at least in part on the approximate current location of the unique-flight received from the non-flight-crew traveler.

4. The method of claim 1, further comprising:

prior to departure of the unique-flight, retrieving, by the mobile computing device, from a landmark data server landmark data associated with one or more landmarks adjacent to the flight line; and

after departure of the unique-flight and prior to arrival of the unique-flight;

displaying, by the mobile computing device, to the non-flight-crew traveler on the display of the mobile computing device indicia associated with the one or more landmarks;

receiving, by the mobile computing device, input from the non-flight-crew traveler to select one of the one or more landmarks; and

displaying, by the mobile computing device, to the non-flight-crew traveler on the display of the mobile computing device data associated with the selected one of the one or more landmarks.

8. The method of claim 1, wherein the mobile computing device includes a camera, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight;

receiving, by the mobile computing device, an image of a land feature via the camera;

displaying, by the mobile computing device, to the non-flight-crew traveler on the display of the mobile computing device the image and the map; and

receiving, by the mobile computing device, user input from the non-flight-crew traveler to associate the image with the map;

wherein the predicting includes predicting, by the mobile computing device, the predicted current location of the unique-flight based at least in part on the image.

9. The method of claim 1, wherein the mobile computing device includes a compass, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight;

detecting with the compass an orientation of the mobile computing device; and

receiving, by the mobile computing device, user input from the non-flight-crew traveler to associate the orientation of the mobile computing device with the updated flight-path;

wherein the predicting includes predicting, by the mobile computing device, the predicted current location of the unique-flight based at least in part on the orientation.

10. The method of claim 1, wherein the mobile computing device includes a camera, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight;

receiving, by the mobile computing device, an image via the camera;

associating, by the mobile computing device, the image with a flight profile associated with the unique-flight responsive to user input from the non-flight-crew traveler.

11. The method of claim 1, wherein the mobile computing device includes global positon system (GPS) capabilities, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight, receiving, by the mobile computing device, from one or more GPS satellites location data associated with the mobile computing device;

wherein the predicting includes predicting, by the mobile computing device, the predicted current location of the unique-flight based at least in part on the location data.

12. The method of claim 1, further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight, alerting, by the mobile computing device, the non-flight-crew traveler of forecasted turbulence.

13. The method of claim 4, further comprising:

providing, by the mobile computing device, a game for the non-flight-crew traveler to play, wherein the game includes displaying indicia on the display of the mobile computing device that queries the non-flight-crew traveler to identify the one or more landmarks and rewarding the non-flight-crew traveler for correctly identifying the one or more landmarks.

5. A mobile computing device implemented method for creating an interactive experience for a non-flight-crew traveler of a unique-flight from an origin to a destination, the method comprising:

prior to departure of the unique-flight, requesting and receiving, by the mobile computing device, from the non-flight-crew traveler unique-flight-data that identifies the unique-flight;

prior to departure of the unique-flight, retrieving, by the mobile computing device, from a flight-data-server via the Internet an initial flight-path for the unique-flight; and

after departure of the unique-flight and prior to arrival of the unique-flight and with the mobile computing device in its airplane mode with communication disabled, without access to the Internet, and without access to a global positioning system;

displaying, by the mobile computing device, to the non-flight-crew traveler on a display of the mobile computing device indicia including a map, a flight line on the map, and a predicted current location of the unique-flight on the map;

receiving, by the mobile computing device, from the non-flight-crew traveler an approximate current location of the unique-flight;

calibrating, by the mobile computing device, an updated flight-path based on the initial flight-path and the approximate current location of the unique-flight received from the non-flight-crew traveler, wherein the updated flight-path is a function of a location of the unique-flight and time;

predicting, by the mobile computing device, a predicted length of time remaining for the unique-flight based at least in part on the approximate current location of the unique-flight received from the non-flight-crew traveler; and

displaying, by the mobile computing device, to the non-flight-crew traveler on the display of the mobile computing device indicia including the map, the flight line on the map, and an updated predicted current location of the unique-flight on the map.

6. The method of claim 5, further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight and with the mobile computing device in its airplane mode with communication disabled, without access to the Internet, and without access to a global positioning system;

predicting, by the mobile computing device, the predicted current location of the unique-flight based at least in part on the approximate current location of the unique-flight received from the non-flight-crew traveler.

7. The method of claim 5, further comprising:

prior to departure of the unique-flight, retrieving, by the mobile computing device, from a landmark data server landmark data associated with one or more landmarks adjacent to the flight line; and

after departure of the unique-flight and prior to arrival of the unique-flight;

displaying, by the mobile computing device, to the non-flight-crew traveler on the display of the mobile computing device indicia associated with the one or more landmarks;

receiving, by the mobile computing device, input from the non-flight-crew traveler to select one of the one or more landmarks; and

displaying, by the mobile computing device, to the non-flight-crew traveler on the display of the mobile computing device data associated with the selected one of the one or more landmarks.

14. The method of claim 5, wherein the mobile computing device includes a camera, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight;

receiving, by the mobile computing device, an image of a land feature via the camera;

displaying, by the mobile computing device, to the non-flight-crew traveler on the display of the mobile computing device the image and the map; and

receiving, by the mobile computing device, user input from the non-flight-crew traveler to associate the image with the map;

wherein the predicting includes predicting, by the mobile computing device, the predicted current location of the unique-flight based at least in part on the image.

15. The method of claim 5, wherein the mobile computing device includes a compass, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight;

detecting with the compass an orientation of the mobile computing device; and

receiving, by the mobile computing device, user input from the non-flight-crew traveler to associate the orientation of the mobile computing device with the updated flight-path;

wherein the predicting includes predicting, by the mobile computing device, the predicted current location of the unique-flight based at least in part on the orientation.

16. The method of claim 5, wherein the mobile computing device includes a camera, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight;

receiving, by the mobile computing device, an image via the camera;

associating, by the mobile computing device, the image with a flight profile associated with the unique-flight responsive to user input from user input from the non-flight-crew traveler.

17. The method of claim 5, wherein the mobile computing device includes global positon system (GPS) capabilities, the method further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight, receiving, by the mobile computing device, from one or more GPS satellites location data associated with the mobile computing device;

wherein the predicting includes predicting, by the mobile computing device, the predicted current location of the unique-flight based at least in part on the location data.

18. The method of claim 5, further comprising:

after departure of the unique-flight and prior to arrival of the unique-flight, alerting, by the mobile computing device, the non-flight-crew traveler of forecasted turbulence.

19. The method of claim 7, further comprising:

providing, by the mobile computing device, a game for the non-flight-crew traveler to play, wherein the game includes displaying indicia on the display of the mobile computing device that queries the non-flight-crew traveler to identify the one or more landmarks and rewarding the non-flight-crew traveler for correctly identifying the one or more landmarks.