Controlling Vehicles Using Contextual Driver And/Or Rider Data Based on Automatic Passenger Detection and Mobility Status

• US 20190019133A1
• Filed: 07/31/2018
• Published: 01/17/2019
• Est. Priority Date: 07/14/2017
• Status: Active Grant

• Current Assignee: Allstate Insurance Company (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Allen, Rachel Edelshteyn
• Granted Patent: US 11,928,621 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G10L 17/00 Speaker identification or verification techniques
• CPC Class Codes: G10L 25/51 for comparison or discrimination

Abstract

A system may determine an initial safety prediction for a driver or rider associated with a shared mobility service. Then the system may receive, from various sensors, sensor data collected during operation of a vehicle. The system may determine a subset of the sensor data related to one or more shared mobility statuses, then determine, based on the subset of the sensor data, a safety score for the driver and/or rider. The system may further perform operations based on the safety score and/or the initial safety prediction.

Claims

1. A method comprising:

determining, based on one or more of information about a driver and information about a vehicle, an initial safety prediction for the driver;

receiving, from a mobile device associated with the driver, sensor data collected during operation of the vehicle;

determining a subset of the sensor data related to one or more shared mobility statuses;

determining, based on the subset of the sensor data, a safety score for the driver; and

sending instructions, based on the initial safety prediction and the determined safety score, to a shared mobility service, wherein the instructions are configured to modify an operation of the shared mobility service.

2. The method of claim 1, wherein determining the subset of the sensor data comprises analyzing a recorded audio signal to detect a voice of at least one passenger of the vehicle.

3. The method of claim 2, wherein analyzing the recorded audio signal to detect the voice of the at least one passenger comprises:

determining, based on one or more acoustic properties of the recorded audio signal, whether the recorded audio signal contains a media program; and

detecting the voice of the at least one passenger responsive to determining that the recorded audio signal does not contain a media program.

4. The method of claim 2, wherein analyzing the recorded audio signal to detect the voice of the at least one passenger comprises:

generating, from the recorded audio signal, a first voice print;

comparing the first voice print to a second voice print associated with the driver; and

determining, based on the comparison, that the first voice print does not match the second voice print.

5. The method of claim 1, wherein determining the subset of the sensor data comprises analyzing a wireless signal to determine a number of mobile devices associated with at least one passenger of the vehicle.

6. The method of claim 1, wherein the instructions are configured to provide an incentive to the driver or the shared mobility service.

7. The method of claim 6, further comprising:

determining, based on the initial safety prediction, a safety cost for the driver;

subtracting the determined safety score from the safety cost to yield a balance; and

causing a transaction with the shared mobility service, wherein the transaction is based on the balance, wherein the transaction is the provided incentive.

8. The method of claim 1, wherein the safety score comprises multiple sub-scores corresponding to a plurality of mobility statuses.

9. The method of claim 1, further comprising determining, based on the safety score, a percentage of a fare to award to the driver.

10. The method of claim 1, further comprising determining, based on the subset of the sensor data, a number of passengers in the vehicle.

11. The method of claim 1, further comprising transmitting, to the mobile device, an indication of the safety score and a recommendation for improving the safety score.

12. A computing platform comprising:

at least one processor;

a communication interface communicatively coupled to the at least one processor; and

memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to;

determine, based on one or more of information about a driver and information about a vehicle, an initial safety prediction for the driver;

receive, from a mobile device associated with the driver, sensor data collected during operation of the vehicle;

determine a subset of the sensor data related to one or more shared mobility statuses;

determine, based on the subset of the sensor data, a safety score for the driver; and

send instructions, based on the initial safety prediction and the determined safety score, to a shared mobility service, wherein the instructions are configured to modify an operation of the shared mobility service.

13. The computing platform of claim 12, wherein the instructions, when executed by the at least one processor, cause the computing platform to determine the subset of the sensor data by analyzing a recorded audio signal to detect a voice of at least one passenger of the vehicle.

14. The computing platform of claim 12, wherein the instructions, when executed by the at least one processor, cause the computing platform to determine the subset of the sensor data by analyzing, a wireless signal to determine a number of mobile devices associated with at least one passenger of the vehicle.

15. The computing platform of claim 12, wherein the sent instructions are configured to provide an incentive to the driver or the shared mobility service.

16. The computing platform of claim 15, wherein the instructions, when executed by the at least one processor, further cause the computing platform to:

determine, based on the initial safety prediction, a safety cost for the driver;

subtract the determined safety score from the safety cost to yield a balance; and

cause a transaction with the shared mobility service, wherein the transaction is based on the balance, wherein the transaction is the provided incentive.

17. The computing platform of claim 12, wherein the safety score comprises multiple sub-scores corresponding to a plurality of mobility statuses.

18. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least a processor, memory, and a communication interface, cause the computing platform to:

determine, based on one or more of information about a driver and information about a vehicle, an initial safety prediction for the driver;

receive, from a mobile device associated with the driver, sensor data collected during operation of the vehicle;

determine a subset of the sensor data related to one or more shared mobility statuses;

determine, based on the subset of the sensor data, a safety score for the driver; and

send instructions, based on the initial safety prediction and the determined safety score, to a shared mobility service, wherein the instructions are configured to modify an operation of the shared mobility service.

19. The one or more non-transitory computer-readable media of claim 18, wherein the instructions are configured to provide an incentive to the driver or the shared mobility service.

20. The one or more non-transitory computer-readable media of claim 18, wherein the instructions, when executed by the computing platform, further cause the computing platform to:

determine, based on the initial safety prediction, a safety cost for the driver;

subtract the determined safety score from the safety cost to yield a balance; and

cause a transaction with the shared mobility service, wherein the transaction is based on the balance, wherein the transaction is the provided incentive.