Route community objects with price-time priority queues for transformed transportation units
Implementations of various methods and systems to transform navigation routes with two waypoints or a destination waypoint or a series sequence of waypoints into objects which have associated price-time priority queues for transformed transportation units. The present disclosed invention relates to combining the concepts of objected oriented programming, market price queues, navigation systems and social networking and transportation as a fungible asset class or transportation as an open market.
1. A method, comprising:
receiving origin location data and destination location data from a plurality of users, wherein the origin location data corresponds to geographic origins and the destination location data corresponds to geographic destinations;
determining a plurality of virtual hubs based on the origin location data and the destination location data, wherein the plurality of virtual hubs comprises one or more origin virtual hubs determined based on the origin location data and one or more destination virtual hubs determined based on the destination location data;
determining a plurality of virtual hub routes based on the plurality of virtual hubs, wherein a respective virtual hub route corresponds to a geographic route from a location corresponding to a respective origin virtual hub to a location corresponding to a respective destination virtual hub;
receiving attribute data for the plurality of virtual hub routes from the plurality of users, wherein the attribute data corresponds to selections by the plurality of users of a plurality of conditions for traveling along the plurality of virtual hub routes;
generating a plurality of route groups based on the plurality of virtual hub routes and the attribute data, wherein a respective route group corresponds to a respective virtual hub route having respective conditions; and
determining a plurality of transportation capacity exchanges based on the plurality of route groups, wherein a respective transportation capacity exchange for one or more transportation capacity units corresponds to a respective route group, and wherein the one or more transportation capacity units correspond to a predetermined space traveling along the respective virtual hub route of the respective route group.
2. The method of claim 1 , wherein the plurality of conditions comprises cheapest route, single mode of transportation, multiple modes of transportation, fastest route, most scenic route, highest rated route, most available route, highest volume of participants for route, most frequent route, service level for route, highest safety and security level for route, gender of driver, security of driver, rating of driver, vehicle make, vehicle model type, vehicle model year, vehicle model fuel type, driver record, or combinations thereof.
3. The method of claim 1 , further comprising receiving transaction input data from the plurality of users, wherein the transaction input data comprises data corresponding to one or more bid prices and one or more offer prices for the one or more transportation capacity units, acceptance of a respective bid price or a respective offer price, or combinations thereof.
4. The method of claim 1 , wherein the respective virtual hub route comprises one or more additional locations along the geographic route, wherein the one or more additional locations correspond to one or more additional virtual hubs.
5. The method of claim 1 , further comprising assigning a respective user to a respective route group based on input data from the respective user, travel history data for the respective user, or combinations thereof.
6. The method of claim 1 , further comprising generating one or more augmented reality gaming simulations based on the plurality of virtual hub routes.
7. The method of claim 1 , wherein the predetermined space comprises a seat or cargo capacity in one or more vehicles traveling from the first virtual hub to the second virtual hub.
8. A computing system, comprising:
one or more processors; and
one or more memory comprising program instructions executable by the one or more processors to:
receive origin location data and destination location data from a plurality of users, wherein the origin location data corresponds to geographic origins and the destination location data corresponds to geographic destinations;
determine a plurality of virtual hubs based on the origin location data and the destination location data, wherein the plurality of virtual hubs comprises one or more origin virtual hubs determined based on the origin location data and one or more destination virtual hubs determined based on the destination location data;
determine a plurality of virtual hub routes based on the plurality of virtual hubs, wherein a respective virtual hub route corresponds to a geographic route from a location corresponding to a respective origin virtual hub to a location corresponding to a respective destination virtual hub;
receive attribute data for the plurality of virtual hub routes from the plurality of users, wherein the attribute data corresponds to selections by the plurality of users of a plurality of conditions for traveling along the plurality of virtual hub routes;
generate a plurality of route groups based on the plurality of virtual hub routes and the attribute data, wherein a respective route group corresponds to a respective virtual hub route having respective conditions; and
determine a plurality of transportation capacity exchanges based on the plurality of route groups, wherein a respective transportation capacity exchange for one or more transportation capacity units corresponds to a respective route group, and wherein the one or more transportation capacity units correspond to a predetermined space traveling along the respective virtual hub route of the respective route group.
9. The computing system of claim 8 , wherein the plurality of conditions comprises cheapest route, single mode of transportation, multiple modes of transportation, fastest route, most scenic route, highest rated route, most available route, highest volume of participants for route, most frequent route, service level for route, highest safety and security level for route, gender of driver, security of driver, rating of driver, vehicle make, vehicle model type, vehicle model year, vehicle model fuel type, driver record, or combinations thereof.
10. The computing system of claim 8 , wherein the program instructions further comprise program instructions executable by the one or more processors to receive transaction input data from the plurality of users, wherein the transaction input data comprises data corresponding to one or more bid prices and one or more offer prices for the one or more transportation capacity units, acceptance of a respective bid price or a respective offer price, or combinations thereof.
11. The computing system of claim 8 , wherein the respective virtual hub route comprises one or more additional locations along the geographic route, wherein the one or more additional locations correspond to one or more additional virtual hubs.
12. The computing system of claim 8 , wherein the program instructions further comprise program instructions executable by the one or more processors to assign a respective user to a respective route group based on input data from the respective user, travel history data for the respective user, or combinations thereof.
13. The computing system of claim 8 , wherein the program instructions further comprise program instructions executable by the one or more processors to generate one or more augmented reality gaming simulations based on the plurality of virtual hub routes.
14. The computing system of claim 8 , wherein the predetermined space comprises a seat or cargo capacity in one or more vehicles traveling from the first virtual hub to the second virtual hub.
15. A non-transitory computer-readable medium having stored thereon a plurality of computer-executable instructions which, when executed by a computer, cause the computer to:
receive origin location data and destination location data from a plurality of users, wherein the origin location data corresponds to geographic origins and the destination location data corresponds to geographic destinations;
determine a plurality of virtual hubs based on the origin location data and the destination location data, wherein the plurality of virtual hubs comprises one or more origin virtual hubs determined based on the origin location data and one or more destination virtual hubs determined based on the destination location data;
determine a plurality of virtual hub routes based on the plurality of virtual hubs, wherein a respective virtual hub route corresponds to a geographic route from a location corresponding to a respective origin virtual hub to a location corresponding to a respective destination virtual hub;
receive attribute data for the plurality of virtual hub routes from the plurality of users, wherein the attribute data corresponds to selections by the plurality of users of a plurality of conditions for traveling along the plurality of virtual hub routes;
generate a plurality of route groups based on the plurality of virtual hub routes and the attribute data, wherein a respective route group corresponds to a respective virtual hub route having respective conditions; and
determine a plurality of transportation capacity exchanges based on the plurality of route groups, wherein a respective transportation capacity exchange for one or more transportation capacity units corresponds to a respective route group, and wherein the one or more transportation capacity units correspond to a predetermined space traveling along the respective virtual hub route of the respective route group.
16. The non-transitory computer-readable medium of claim 15 , wherein the plurality of conditions comprises cheapest route, single mode of transportation, multiple modes of transportation, fastest route, most scenic route, highest rated route, most available route, highest volume of participants for route, most frequent route, service level for route, highest safety and security level for route, gender of driver, security of driver, rating of driver, vehicle make, vehicle model type, vehicle model year, vehicle model fuel type, driver record, or combinations thereof.
17. The non-transitory computer-readable medium of claim 15 , wherein the plurality of computer-executable instructions which, when executed by a computer, further cause the computer to receive transaction input data from the plurality of users, wherein the transaction input data comprises data corresponding to one or more bid prices and one or more offer prices for the one or more transportation capacity units, acceptance of a respective bid price or a respective offer price, or combinations thereof.
18. The non-transitory computer-readable medium of claim 15 , wherein the respective virtual hub route comprises one or more additional locations along the geographic route, wherein the one or more additional locations correspond to one or more additional virtual hubs.
19. The non-transitory computer-readable medium of claim 15 , wherein the plurality of computer-executable instructions which, when executed by a computer, further cause the computer to assign a respective user to a respective route group based on input data from the respective user, travel history data for the respective user, or combinations thereof.
20. The non-transitory computer-readable medium of claim 15 , wherein the plurality of computer-executable instructions which, when executed by a computer, further cause the computer to generate one or more augmented reality gaming simulations based on the plurality of virtual hub routes.