Trip anomaly detection system

Patent metadata

Field	Value
Publication number	US-10301867-B2
Application number	US-201816150656-A
Country	US
Kind code	B2
Filing date	Oct 3, 2018
Priority date	Jun 17, 2015
Publication date	May 28, 2019
Grant date	May 28, 2019

Abstract

An anomaly detection system is provided in connection with a transport service. The anomaly detection system can monitor progress of the transport service using received location data from driver and/or user mobile devices. During the progress of the transport service, the anomaly detection system can determine a probable anomaly by determining that a geographic position of the driver's vehicle has remained static for a period of time exceeding a threshold period of time, and in response to determining the probable anomaly, transmit a notification message to at least one of the driver and user mobile devices.

First claim

What is claimed is:

1. A computing system comprising:
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors, cause the computing system to:
assign a driver of a vehicle to provide a transport service for a user, wherein the driver operates a driver mobile device and the user operates a user mobile device;
receive, over one or more networks, location data from a location-aware resource of the driver mobile device or a location-aware resource of the user mobile device;
monitor progress of the transport service using the received location data;
during the progress of the transport service, determine a probable anomaly by determining, using the location-aware resource of the driver mobile device or the location-aware resource of the user mobile device, that a geographic position of the vehicle has remained static for a period of time exceeding a threshold period of time; and
in response to determining the probable anomaly, transmit, over the one or more networks, a notification message to at least one of the driver mobile device or the user mobile device, wherein the notification message includes a warning message or a status query.

2. The computing system of claim 1 , wherein the executed instructions further cause the computing system to:
raise or lower the threshold period of time based on a reputation factor of the driver, wherein the reputation factor includes (i) a complaint history of the driver, and (ii) reputation indicators of the driver received or retrieved from third-party resources.

3. The computing system of claim 1 , wherein the executed instructions further cause the computing system to:
raise or lower the threshold period of time based on a comparison between a user profile of the user and a driver profile of the driver, the user profile comprising one or more user preferences, and the driver profile comprising reputation data for the driver.

4. The computing system of claim 1 , wherein the executed instructions further cause the computing system to:
utilize environmental data for a region including the geographic position of the vehicle to raise or lower the threshold period of time.

5. The computing system of claim 4 , wherein the environmental data includes traffic data, police report data, local news, and crime data.

6. The computing system of claim 1 , wherein the notification message transmitted to the user mobile device includes the status query.

7. The computing system of claim 6 , wherein the executed instructions further cause the computing system to:
in response to the status query, receive an indication of a negative condition from the user mobile device; and
in response to receiving the indication, transmit a driver directive to the driver mobile device indicating the negative condition.

8. The computing system of claim 1 , wherein the executed instructions further cause the computing system to:
provide a selectable emergency feature on a graphical user interface of the user mobile device; and
receive a user selection of the selectable emergency feature.

9. The computing system of claim 1 , wherein the location-aware resource of the driver mobile device and the location-aware resource of the user mobile device are global positioning system receivers.

10. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a computing system, cause the computing system to:
assign a driver of a vehicle to provide a transport service for a user, wherein the driver operates a driver mobile device and the user operates a user mobile device;
receive, over one or more networks, location data from a location-aware resource of the driver mobile device or a location-aware resource of the user mobile device;
monitor progress of the transport service using the received location data;
during the progress of the transport service, determine a probable anomaly by determining, using the location-aware resource of the driver mobile device or the location-aware resource of the user mobile device, that a geographic position of the vehicle has remained static for a period of time exceeding a threshold period of time; and
in response to determining the probable anomaly, transmit, over the one or more networks, a notification message to at least one of the driver mobile device or the user mobile device, wherein the notification message includes a warning message or a status query.

11. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions further cause the computing system to:
raise or lower the threshold period of time based on a reputation factor of the driver, wherein the reputation factor includes (i) a complaint history of the driver, and (ii) reputation indicators of the driver received or retrieved from third-party resources.

12. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions further cause the computing system to:
raise or lower the threshold period of time based on a comparison between a user profile of the user and a driver profile of the driver, the user profile comprising one or more user preferences, and the driver profile comprising reputation data for the driver.

13. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions further cause the computing system to:
utilize environmental data for a region including the geographic position of the vehicle to raise or lower the threshold period of time.

14. The non-transitory computer-readable medium of claim 13 , wherein the environmental data includes traffic data, police report data, local news, and crime data.

15. The non-transitory computer-readable medium of claim 10 , wherein the notification message transmitted to the user mobile device includes the status query.

16. The non-transitory computer-readable medium of claim 15 , wherein the executed instructions further cause the computing system to:
in response to the status query, receive an indication of a negative condition from the user mobile device; and
in response to receiving the indication, transmit a driver directive to the driver mobile device indicating the negative condition.

17. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions further cause the computing system to:
provide a selectable emergency feature on a graphical user interface of the user mobile device; and
receive a user selection of the selectable emergency feature.

18. The non-transitory computer-readable medium of claim 10 , wherein the location-aware resource of the driver mobile device and the location-aware resource of the user mobile device are global positioning system receivers.

19. A computer-implemented method for detecting transport service anomalies, the method performed by one or more processors of a computing system and comprising:
assigning a driver of a vehicle to provide a transport service for a user, wherein the driver operates a driver mobile device and the user operates a user mobile device;
receiving, over one or more networks, location data from a location-aware resource of the driver mobile device or a location-aware resource of the user mobile device;
monitoring progress of the transport service using the received location data;
during the progress of the transport service, determining a probable anomaly by determining, using the location-aware resource of the driver mobile device or the location-aware resource o

Assignees

• Uber Technologies Inc

Inventors

• Truong Michael
• Purdy David
• Mawas Rami

Classifications

• B60R11/04

  Mounting of cameras operative during drive; Arrangement of controls thereof relative to the vehicle · CPC title

• G01C21/005

  with correlation of navigation data from several sources, e.g. map or contour matching (G01C21/30 takes precedence) · CPC title

• E05Y2900/548

  Trunk lids · CPC title

• G06Q10/083

  Shipping · CPC title

• G08G1/0104

  Measuring and analyzing of parameters relative to traffic conditions · CPC title