Systems and methods for vehicle tracking and service prediction

• US 10,810,531 B2
• Filed: 01/12/2018
• Issued: 10/20/2020
• Est. Priority Date: 09/18/2015
• Status: Active Grant

• Current Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Original Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Inventors: Hoover, Jason, Tang, Qiaochu, Ghamsari, Avid, Das, Souvik
• Primary Examiner(s): Guiliano, Charles
• Application Number:
  US15/870,266
• Publication Number:
  US 20180137474A1
• Time in Patent Office: 1,012 Days
• Field of Search: 705 736, 705 735, 705 737, 701 334
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B

Abstract

This disclosure relates generally to vehicle diagnostics, and more particularly to systems and methods for vehicle tracking and service prediction. In one embodiment, a processor-implemented vehicle tracking and prediction method is disclosed. The method includes sending an electronic signal to activate in-vehicle data collection by an on-board data aggregator disposed in communication with each of an on-board vehicle computer, via an on-board diagnostic port, and one or more user devices. The method further includes receiving, aggregated in-vehicle data from the on-board data aggregator, predicting a future vehicle service event based on the aggregated data, and generating a vehicle valuation metric based on the aggregated data. The method further includes sending a notification to at least one of the on-board vehicle computer and the one or more user devices, where the notification is based on the predicted future vehicle service event and the generated vehicle valuation metric.

Claims

1. An on-board data aggregator system installed in a vehicle, the system comprising:

a wireless data transceiver;

one or more hardware processors; and

a memory unit storing instructions executable by the one or more hardware processors to perform operations comprising;

receiving an electronic signal to activate in-vehicle data collection;

sending a request for information to an on-board vehicle computer;

receiving in-vehicle data from the computer, the in-vehicle data comprising data collected from one or more of a braking sensor, an acceleration sensor, a throttle sensor, a steering input sensor, a clutch pedal sensor, a transmission setting sensor, an RPM sensor, or a speed sensor;

scanning to detect a user device;

connecting to the user device via the wireless data transceiver;

receiving user device sensor data from the user device via the wireless data transceiver;

determining a vehicle condition based on the in-vehicle data and the user device sensor data, the determination comprising;

comparing the in-vehicle data and the user device sensor data for consistency;

filtering, based on the comparison, at least one of the in-vehicle data or the user device sensor data; and

aggregating the in-vehicle data and the user device sensor data into a standardized structured data format;

sending the vehicle condition and the aggregated data to an analytics server;

receiving a notification from the analytics server based on the vehicle condition, the notification being based on stored financial data associated with a user of the user device and at least one of a predicted future vehicle service event, a vehicle valuation metric, or a recommendation to change a driving behavior; and

displaying the received notification in coordination with a display of the received notification on the user device.

2. The system of claim 1, wherein the operations further comprise sending, to the user device, a user-device notification.

3. The system of claim 1, wherein the user device sensor data comprises data from at least one of a GPS, a gyroscope, an accelerometer, or a magnetometer.

4. The system of claim 1, wherein determining a vehicle condition comprises:

comparing the in-vehicle data with the user device sensor data;

assessing whether the in-vehicle data and the user device sensor data are consistent;

combining the in-vehicle data and the user device sensor data; and

filtering based on the assessment, the combined in-vehicle data and user device sensor data.

5. The system of claim 1, wherein determining a vehicle condition comprises:

combining data from the computer with data from the user device.

6. The system of claim 1, wherein receiving the electronic signal comprises receiving from the user device.

7. The system of claim 1, wherein sending the vehicle condition and the aggregated data comprises;

sending the vehicle condition and the aggregated data via a wireless network.

8. The system of claim 1, wherein the vehicle condition comprises at least one of an engine condition, a brake condition, a wheel alignment condition, or a suspension condition.

9. The system of claim 1, wherein the wireless data transceiver comprises at least one of a Bluetooth transceiver, a WiFi transceiver, or a Near Field Communication transceiver.

10. A method, comprising:

receiving, by an on-board data aggregator comprising a wireless data transceiver, an electronic signal to activate in-vehicle data collection;

sending, by the data aggregator, a request for information to an on-board vehicle computer;

receiving, by the data aggregator, in-vehicle data from the computer, the in-vehicle data comprising data collected from one or more of a braking sensor, an acceleration sensor, a throttle sensor, a steering input sensor, a clutch pedal sensor, a transmission setting sensor, an RPM sensor, or a speed sensor;

scanning to detect a user device;

connecting to the user device via the wireless data transceiver;

receiving user device sensor data from the user device via the wireless data transceiver;

determining a vehicle condition based on the in-vehicle data and the user device sensor data, the determination comprising;

comparing the in-vehicle and the user device sensor data for consistency;

filtering, based on the comparison, at least one of the in-vehicle data or the user device sensor data; and

aggregating the in-vehicle data and the user device sensor data into a standardized structured data format;

sending, via the on-board data aggregator, the vehicle condition and the aggregated data to an analytics server;

receiving, by the on-board data aggregator, a notification from the analytics server based on the vehicle condition, the notification being based on stored financial data associated with a user of the user device and at least one of a predicted future vehicle service event, a vehicle valuation metric, or a recommendation to change a driving behavior; and

displaying the received notification in coordination with a display of the received notification on the user device.

11. The method of claim 10, further comprising:

sending, to the user device, a user-device notification.

12. The method of claim 10, wherein the user device sensor data comprises:

data from at least one of a GPS, a gyroscope, an accelerometer, or a magnetometer.

13. The method of claim 10, further comprising:

receiving, from the user device, user device sensor data; and

wherein determining vehicle treatment data comprises;

comparing, by the data aggregator, the in-vehicle data with the user device sensor data;

assessing, by the data aggregator, whether the in-vehicle data and the user device sensor data are consistent;

combining, by the data aggregator, the in-vehicle data and the user device sensor data; and

filtering, by the data aggregator, based on the assessment, the combined in-vehicle data and user device sensor data.

14. The method of claim 10, wherein determining the vehicle condition comprises:

combining data from the computer with data from the user device.

15. The method of claim 10, wherein the vehicle condition comprises at least one of an engine condition, a brake condition, a wheel alignment condition, or a suspension condition.

16. The method of claim 10, wherein the wireless data transceiver comprises at least one of a Bluetooth transceiver, a WiFi transceiver, or a Near Field Communication transceiver.

17. A non-transitory computer-readable medium storing instructions executable by one or more hardware processors to carry out operations comprising:

receiving, via the one or more hardware processors, an electronic signal to activate in-vehicle data collection;

sending, via the one or more hardware processors, a request for information to an on-board vehicle computer;

receiving, via the one or more hardware processors, in-vehicle data from an on-board vehicle computer, the in-vehicle data comprising data collected from one or more of a braking sensor, an acceleration sensor, a throttle sensor, a steering input sensor, a clutch pedal sensor, a transmission setting sensor, an RPM sensor, or a speed sensor;

scanning, by the one or more hardware processors, to detect a user device;

connect to the user device via a wireless data transceiver;

receiving user device sensor data from the user device via the wireless data transceiver;

determining, via the one or more hardware processors, a vehicle condition based on the in-vehicle data and the user device sensor data, the determination comprising;

comparing the in-vehicle and the user device sensor data for consistency;

filtering, based on the comparison, at least one of the in-vehicle data or the user device sensor data; and

aggregating the in-vehicle data and the user device sensor data into a standardized structured data format;

sending, via the one or more hardware processors, the vehicle condition and the aggregated data to an analytics server;

receiving, via the one or more hardware processors, a notification from the analytics server based on the vehicle condition, the notification being based on stored financial data associated with a user of the user device and at least one of a predicted future vehicle service event, a vehicle valuation metric, or a recommendation to change a driving behavior; and

displaying the received notification in coordination with a display of the received notification on the user device.