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

• US 20190019122A1
• Filed: 07/14/2017
• 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 11,651,316 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083

Abstract

A system may receive driving information associated with a first driver of a shared mobility service, the driving information comprising processed sensor data received from one or more sensors of a vehicle associated with the first driver. Subsequently, the system may determine, based on at least one of recorded audio signals and a wireless signal, one or more time periods during which the first driver was transporting at least one passenger of the shared mobility service. Thereafter, the system may determine, based on correlating the driving information with the one or more time periods, a first score for the first driver. Then, the system may transmit a notification of a ride opportunity to the first driver responsive to determining that the first score for the first driver is higher than a second score for a second driver.

Claims

1. A method comprising:

at a shared mobility service management computing platform comprising at least one processor, memory, and a communication interface;

receiving, by the at least one processor, via the communication interface, driving information associated with a first driver of a shared mobility service, the driving information based on processed sensor data received from one or more sensors of a vehicle associated with the first driver;

determining, by the at least one processor, based on at least one of a recorded audio signal and a wireless signal, one or more time periods during which the first driver was transporting at least one passenger of the shared mobility service;

determining, by the at least one processor, based on correlating the driving information with the one or more time periods, a first score for the first driver; and

transmitting, by the at least one processor, via the communication interface, a notification of a ride opportunity to the first driver responsive to determining that the first score for the first driver is higher than a second score for a second driver.

2. The method of claim 1, wherein determining the first score comprises:

determining, by the at least one processor, a safety score estimating the first driver'"'"'s safety;

determining, by the at least one processor, a revenue score estimating the first driver'"'"'s revenue; and

combining, by the at least one processor, the safety score with the revenue score to yield the first score.

3. The method of claim 1, wherein determining the one or more time periods comprises analyzing, by the at least one processor, the recorded audio signal to detect a voice of the at least one passenger.

4. The method of claim 3, wherein analyzing the recorded audio signal to detect a 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.

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

generating, by the at least one processor, from the recorded audio signal, a first voice print;

comparing, by the at least one processor, the first voice print to a second voice print associated with the first driver; and

determining, by the at least one processor, based on the comparison, that the first voice print does not match the second voice print.

6. The method of claim 1, wherein determining the one or more time periods comprises analyzing, by the at least one processor, the wireless signal to determine a number of mobile devices associated with the at least one passenger.

7. The method of claim 1, further comprising determining, by the at least one processor, that the first driver and the second driver are within a threshold distance of a pickup location associated with the ride opportunity.

8. The method of claim 1, further comprising determining, by the at least one processor, based on the first score, a percentage of a fare to award to the first driver.

9. The method of claim 1, further comprising determining, by the at least one processor, for the one or more time periods, a number of the at least one passenger of the shared mobility service.

10. The method of claim 1, further comprising transmitting, by the at least one processor, via the communication interface, to a mobile system associated with the first driver, an indication of the first score and a recommendation for improving the first score.

11. The method of claim 1, further comprising determining, based on the driving information, an attribute characterizing the first driver.

12. The method of claim 11, further comprising increasing, based on a determination that a rider associated with the ride opportunity is also associated with the attribute, a percentage of a fare awarded to the first driver.

13. The method of claim 1, further comprising:

determining a similarity between a first profile of a first rider associated with the ride opportunity and a second profile of a second rider already being transported by the first driver; and

determining, based on the similarity, a fare for the first rider.

14. 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;

receive, via the communication interface, driving information associated with a first driver of a shared mobility service, the driving information comprising processed sensor data received from one or more sensors of a vehicle associated with the first driver;

determine, based on at least one of a recorded audio signal and a wireless signal, one or more time periods during which the first driver was transporting at least one passenger of the shared mobility service;

determine, based on correlating the driving information with the one or more time periods, a first score for the first driver; and

transmit, via the communication interface, a notification of a ride opportunity to the first driver responsive to determining that the first score for the first driver is higher than a second score for a second driver.

15. The computing platform of claim 14, wherein the computer-readable instructions that cause the computing platform to determine the first score comprise computer-readable instructions that cause the computing platform to:

determine, by the at least one processor, a safety score estimating the first driver'"'"'s safety;

determine, by the at least one processor, a revenue score estimating the first driver'"'"'s revenue; and

combine, by the at least one processor, the safety score with the revenue score to yield the first score.

16. The computing platform of claim 14, wherein the computer-readable instructions that cause the computing platform to determine the one or more time periods comprise computer-readable instructions that cause the computing platform to analyze, by the at least one processor, the recorded audio signal to detect a voice of the at least one passenger.

17. The computing platform of claim 16, wherein the computer-readable instructions that cause the computing platform to analyze the recorded audio signal to detect a voice of the at least one passenger comprise computer-readable instructions that cause the computing platform to:

generate, by the at least one processor, from the recorded audio signal, a first voice print;

compare, by the at least one processor, the first voice print to a second voice print associated with the first driver; and

determine, by the at least one processor, based on the comparison, that the first voice print does not match the second voice print.

18. The computing platform of claim 16, wherein the computer-readable instructions that cause the computing platform to analyze the recorded audio signal to detect a voice of the at least one passenger comprise computer-readable instructions that cause the computing platform to:

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

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

19. The computing platform of claim 14, wherein determining the one or more time periods comprises analyzing, by the at least one processor, the wireless signal to determine a number of mobile devices associated with the at least one passenger.

20. 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:

receive, via the communication interface, driving information associated with a first driver of a shared mobility service, the driving information comprising processed sensor data received from one or more sensors of a vehicle associated with the first driver;

determine, based on at least one of a recorded audio signal and a wireless signal, one or more time periods during which the first driver was transporting at least one passenger of the shared mobility service;

determine, based on correlating the driving information with the one or more time periods, a first score for the first driver; and

transmit, via the communication interface, a notification of a ride opportunity to the first driver responsive to determining that the first score for the first driver is higher than a second score for a second driver.