Crowd sourced optimization of vehicle performance based on cloud based data

• US 9,508,202 B2
• Filed: 12/02/2015
• Issued: 11/29/2016
• Est. Priority Date: 10/22/2013
• Status: Active Grant

• Current Assignee: LYFT Incorporated
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Marathe, Nikhil S., Baldwin, Christopher
• Primary Examiner(s): PHAM, TOAN NGOC
• Application Number:
  US14/957,301
• Publication Number:
  US 20160086399A1
• Time in Patent Office: 363 Days
• Field of Search: 340/901, 340/438, 340/531, 340/539.1, 340/439, 705/14.64, 705/14.58, 707/706, 707/E17.108, 707/802, 701/31.4, 701/29, 701/33, 701/14.4
• US Class Current: 1/1
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G08G 1/0967 Systems involving transmission of highway information, e.g. weather, speed limits transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

Tracking intrinsic and extrinsic vehicle parameters for optimizing vehicle performance is presented herein. A method can include consolidating sets of data associated with a vehicle to generate a model; generating, using the model, recommendation data representing a recommendation associated with an operation of the vehicle; and in response to receiving a request from a device of the vehicle corresponding to the operation of the vehicle, sending, based on the request, a message comprising the recommendation directed to the device of the vehicle. In an example, the method can further include determining, based on crowdsourced data representing the characteristic of the element of the vehicle, whether the characteristic satisfies a defined condition with respect to the operation of the vehicle.

Claims

1. A method, comprising:

based on crowdsourced data with respect to network based communications representing a characteristic of an element of a vehicle, generating, by a system comprising a processor, recommendation data representing a recommendation associated with an operation of the vehicle; and

in response to sending a message comprising the recommendation directed to a device of the vehicle, receiving, by the system, feedback data representing whether the recommendation has been implemented.

2. The method of claim 1, further comprising:

consolidating, by the system, the crowdsourced data into a data structure representing a model that associates the characteristic with the recommendation.

3. The method of claim 2, wherein the consolidating comprises:

receiving, from devices of vehicles comprising the vehicle, respective sensor data associated with the characteristic; and

generating the data structure using the respective sensor data.

4. The method of claim 2, wherein the consolidating comprises:

receiving information representing a driving condition with respect to the operation of the vehicle; and

generating the data structure using the information representing the driving condition.

5. The method of claim 1, further comprising:

receiving the network based communications from a group of devices via an Internet based interface; and

generating, by the system, a data structure representing a model using the crowdsourced data.

6. The method of claim 1, wherein the generating the recommendation data comprises:

in response to receiving, from the device of the vehicle, sensor data representing the characteristic, determining, based on the sensor data, whether the characteristic satisfies a defined condition with respect to the operation of the vehicle.

7. The method of claim 1, wherein the generating the recommendation data comprises:

in response to receiving information representing a driving condition with respect to the operation of the vehicle, determining, based on the information, whether the characteristic satisfies a defined condition with respect to the operation of the vehicle.

8. The method of claim 1, wherein the generating the recommendation data comprises:

determining, based on the crowdsourced data, whether the characteristic satisfies a defined condition with respect to the operation of the vehicle.

9. The method of claim 8, wherein the generating the recommendation data comprises:

in response to the characteristic being determined to satisfy the defined condition with respect to the operation of the vehicle, generating the recommendation data.

10. A system, comprising:

a processor, and

a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising;

generating, based on data corresponding to network based communications representing a characteristic of an element of a vehicle, a recommendation with respect to an operation of the vehicle; and

in response to sending the recommendation directed to a device of the vehicle, receiving information indicating whether the recommendation has been applied.

11. The system of claim 10, wherein the generating the recommendation comprises:

generating, based on the data, a model associating the characteristic of the element of the vehicle with the recommendation.

12. The system of claim 10, wherein the operations further comprise:

receiving the data from respective devices via an Internet based interface.

13. The system of claim 10, wherein the generating the recommendation comprises:

receiving, from the device of the vehicle, sensor data representing the characteristic; and

determining, based on the sensor data, whether the characteristic satisfies a defined condition with respect to the operation of the vehicle.

14. The system of claim 13, wherein the determining comprises:

in response to determining, based on the sensor data, that the characteristic satisfies the defined condition with respect to the operation of the vehicle, performing the generating the recommendation.

15. The system of claim 10, wherein the generating the recommendation comprises:

determining, based on the data, whether the characteristic satisfies a defined condition with respect to the operation of the vehicle.

16. The system of claim 15, wherein the generating the recommendation comprises:

in response to determining, based on the data, that the characteristic satisfies the defined condition with respect to the operation of the vehicle, performing the generating the recommendation.

17. A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

based on network based communications comprising respective data representing a characteristic of an element of a vehicle, creating a recommendation with respect to an operation of the vehicle; and

in response to sending the recommendation directed to a device of the vehicle, receiving feedback data representing whether the recommendation has been implemented.

18. The machine-readable storage medium of claim 17, wherein the creating the recommendation comprises:

in response to determining, based on the respective data, that the characteristic satisfies a defined condition with respect to the operation of the vehicle, performing the creating the recommendation.

19. The machine-readable storage medium of claim 17, wherein the creating the recommendation comprises:

receiving, from the device of the vehicle, sensor data representing the characteristic; and

in response to determining, based on the sensor data, that the characteristic satisfies a defined condition with respect to the operation of the vehicle, performing the creating the recommendation.

20. The computer-readable storage device of claim 17, wherein the operations further comprise:

receiving, from devices of a group of vehicles comprising the vehicle, sets of sensor data associated with the characteristic of the element of the vehicle; and

creating a model using the sets of sensor data.