SYSTEMS AND METHODS FOR VEHICLE SHARING ON PEER-TO-PEER NETWORKS

• US 20200134592A1
• Filed: 10/26/2018
• Published: 04/30/2020
• Est. Priority Date: 10/26/2018
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Rao, Prashant, Sharma, Abhishek, Zeryihun, Amanuel, Mitra, Pramita, Melcher, David
• Application Number:
  US16/172,680
• Publication Number:
  US 20200134592A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 20/065 using e-cash
• CPC Class Codes: G06Q 20/0655 e-cash managed centrally
• CPC Class Codes: G06Q 20/085 involving remote charge determination or related payment systems
• CPC Class Codes: G06Q 20/14 specially adapted for billing systems
• CPC Class Codes: G06Q 20/223 based on the use of peer-to-peer networks
• CPC Class Codes: G06Q 20/38215 Use of certificates or encrypted proofs of transaction rights
• CPC Class Codes: G06Q 20/389 Keeping log of transactions for guaranteeing non-repudiation of a transaction
• CPC Class Codes: G06Q 2220/00 Business processing using cryptography postage metering system using cryptography G06Q2250/05
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: H04L 2209/56 Financial cryptography, e.g. electronic payment or e-cash
• CPC Class Codes: H04L 9/0637 Modes of operation, e.g. cipher block chaining [CBC], electronic codebook [ECB] or Galois/counter mode [GCM]
• CPC Class Codes: H04L 9/3236 using cryptographic hash functions
• CPC Class Codes: H04L 9/3239 involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD
• CPC Class Codes: H04L 9/3247 involving digital signatures
• CPC Class Codes: H04L 9/3263 involving certificates, e.g. public key certificate [PKC] or attribute certificate [AC]; Public key infrastructure [PKI] arrangements network architectures or network communication protocols for supporting authentication of entities using certificates in a packet data network H04L63/0823
• CPC Class Codes: H04L 9/50 using hash chains, e.g. blockchains or hash trees

Abstract

Systems, methods, and computer-readable media are disclosed for vehicle sharing on peer-to-peer networks. Example methods may include determining, by one or more computer processors coupled to at least one memory an input indicative of an environment context of a user, an input indicative of a user request associated with a vehicle. The example methods further include determining a vehicle option or a service option based on the input, accessing a file associated with transactions on a peer-to-peer network including computing nodes connected based on a blockchain protocol, and adding information associated with the user the vehicle option or service option to the file.

Claims

1. A system, comprising:

at least one memory comprising computer-executable instructions; and

one or more computer processors configured to access the at least one memory and execute the computer-executable instructions to;

determine an input indicative of an environment context of a user and a user request associated with a vehicle and a service;

determine a vehicle based on the input;

determine that the vehicle is selected by the user;

access a file, wherein the file indicates transactions associated with a network, the network including computing nodes connected based on a blockchain protocol; and

store first information associated with the user and second information associated with the vehicle to the file.

2. The system of claim 1, wherein the user request includes one of a request for the vehicle or the service, or a request to share the user'"'"'s vehicle.

3. The system of claim 1, wherein the first information is used in a trend analysis using artificial intelligence, and the first information comprises at least one of an age, a location, a demographic information, a usage history, or a reputation of the user, and the first information.

4. The system of claim 1, wherein the second information is used in a trend analysis using artificial intelligence, and the second information includes at least one of a vehicle identification number, a make, a model, one or more dimensions, a textual description of a vehicle functionality, or a textual description of one or more features of the vehicle.

5. The system of claim 1, wherein the environment context is determined from an external source and includes at least one of a textual description of a natural disaster or a textual description of a man-made disaster.

6. The system of claim 1, wherein the one or more computer processors are further configured to access the at least one memory and execute the computer-executable instructions to cause an exchange of a token with the network, the token including a cryptocurrency or a points-based token.

7. The system of claim 6, wherein the points-based token is based on a model of the vehicle.

8. The system of claim 1, wherein the one or more computer processors are further configured to access the at least one memory and execute the computer-executable instructions to generate a smart contract.

9. The system of claim 1, wherein the vehicle comprises at least one of an autonomous vehicle, an emergency medical service (EMS) vehicles, a delivery vehicles.

10. A method, comprising:

determining an input indicative of an environment context of a user indicative of a user request associated with a vehicle;

determining a vehicle and a service based on the input;

determining that the vehicle is selected by the user;

accessing a file associated with transactions on a network including computing nodes connected based on a blockchain protocol; and

storing first information associated with the user and second information associated with the vehicle to the file.

11. The method of claim 10, wherein the user request includes one of a request for the vehicle or the service, or a request to share the user'"'"'s vehicle.

12. The method of claim 10, further comprising using the first information in a trend analysis using artificial intelligence, and the first information comprises at least one of an age, a location, a demographic information, a usage history, or a reputation of the user.

13. The method of claim 10, further comprising using the second information in a trend analysis using artificial intelligence, and the second information includes at least one of a vehicle identification number, a make, a model, one or more dimensions, a textual description of a vehicle functionality, or a textual description of one or more features of the vehicle.

14. The method of claim 10, further comprising determining the environment context from an external source and includes at least one of a textual description of a natural disaster or a textual description of a man-made disaster.

15. The method of claim 10, further comprising causing an exchange of a token with the network, the token including a cryptocurrency or a points-based token.

16. The method of claim 15, wherein the points-based token is based on a model of the vehicle.

17. A non-transitory computer-readable medium storing computer-executable instructions which, when executed by a processor, cause the processor to perform operations comprising:

determining an input indicative of an environment context of a user and a user request associated with a vehicle;

determining a vehicle and a service based on the input;

determining that the vehicle is selected by the user;

accessing a file associated with transactions on a network including computing nodes connected based on a blockchain protocol; and

storing first information associated with the user and second information associated with the vehicle to the file.

18. The non-transitory computer-readable medium of claim 17, wherein the user request includes one of a request for the vehicle or the service, or a request to share the user'"'"'s vehicle.

19. The non-transitory computer-readable medium of claim 17, wherein the computer-executable instructions further cause the processor to cause an exchange of a token with the network, the token including a cryptocurrency or a points-based token.

20. The non-transitory computer-readable medium of claim 19, wherein the points-based token is based on a model of the vehicle.