Trip anomaly detection system

Patent metadata

Field	Value
Publication number	US-10123199-B2
Application number	US-201715846858-A
Country	US
Kind code	B2
Filing date	Dec 19, 2017
Priority date	Jun 17, 2015
Publication date	Nov 6, 2018
Grant date	Nov 6, 2018

Abstract

An anomaly detection system is provided in connection with a transport service. The anomaly detection system can construct routine route profiles for individual users of the transport service using historical route data. The anomaly detection system can monitor a current route traveled by a user. The anomaly detection system can further identify a matching routine route profile of the respective user. The anomaly detection system can utilize the matching routine route profile to identify a probable anomaly in the current route. In response to detecting the probable anomaly, the anomaly detection system can enable a safety protocol to perform a number of actions.

First claim

What is claimed is:

1. An anomaly detection system for a service, the anomaly detection 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 anomaly detection system to:
monitor, by receiving location data from a location-aware resource of a mobile device of a user or a driver, a current route traveled by the driver servicing a pick-up request for the user, the current route including an estimated time of arrival;
determine an anomaly threshold based, at least in part, on environmental data for a region that overlaps with at least a portion of the current route, the environmental data including at least one of traffic data, police report data, or crime data;
determine a probable anomaly in the current route based on the estimated time of arrival exceeding, by the anomaly threshold, a historical travel time for the current route, wherein determining the probable anomaly in the current route includes determining, using the location-aware resource of the mobile device of the user or the driver, that a geographic position of a vehicle of the driver coincides with the region; and
in response to determining the probable anomaly, perform one or more actions in accordance with a safety protocol, including transmitting a status query to the mobile device of the user or contacting an emergency authority to report the probable anomaly.

2. The anomaly detection system of claim 1 , wherein an initial action of the safety protocol comprises transmitting the status query to the mobile device of the user, and wherein a subsequent action in the safety protocol comprises contacting the emergency authority to report the probable anomaly.

3. The anomaly detection system of claim 2 , wherein the instructions further cause the anomaly detection system to:
receive an indication of a negative condition from the mobile device of the user; and
in response to receiving the indication, transmit a driver directive to a mobile device of the driver indicating the negative condition.

4. The anomaly detection system of claim 1 , wherein the one or more actions performed in accordance with the safety protocol include:
providing a selectable emergency feature on a graphical user interface of the mobile device of the user during the current route; and
receiving a user selection of the selectable emergency feature.

5. The anomaly detection system of claim 1 , wherein the instructions cause the anomaly detection system to determine the probable anomaly by performing a real-time probabilistic calculation comprising a number of probability factors collectively exceeding the anomaly threshold.

6. The anomaly detection system of claim 5 , wherein the probability factors include a divergence factor between the current route and historical routes for the pick-up request.

7. An anomaly detection system for a service, the anomaly detection 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 anomaly detection system to:
monitor, by receiving location data from a location-aware resource of a mobile device of a user or a driver, a current route traveled by the driver servicing a pick-up request for the user, the current route including an estimated time of arrival;
determine an anomaly threshold based, at least in part, on a score associated with the driver, wherein the score is based, at least in part, on historical data associated with the driver;
determine a probable anomaly in the current route based on the estimated time of arrival exceeding, by the anomaly threshold, a historical travel time for the current route, wherein determining the probable anomaly in the current route includes determining, using the location-aware resource of the mobile device of the user or the driver, that a geographic position of a vehicle of the driver coincides with a region identified in the historical data associated with the driver; and
in response to determining the probable anomaly, perform one or more actions in accordance with a safety protocol, including transmitting a status query to the mobile device of the user or contacting an emergency authority to report the probable anomaly.

8. The anomaly detection system of claim 7 , wherein an initial action of the safety protocol comprises transmitting the status query to the mobile device of the user, and wherein a subsequent action in the safety protocol comprises contacting the emergency authority to report the probable anomaly.

9. The anomaly detection system of claim 8 , wherein the instructions further cause the anomaly detection system to:
receive an indication of a negative condition from the mobile device of the user; and
in response to receiving the indication, transmit a driver directive to a mobile device of the driver indicating the negative condition.

10. The anomaly detection system of claim 7 , wherein the one or more actions performed in accordance with the safety protocol include:
providing a selectable emergency feature on a graphical user interface of the mobile device of the user during the current route; and
receiving a user selection of the selectable emergency feature.

11. The anomaly detection system of claim 7 , wherein the instructions cause the anomaly detection system to determine the probable anomaly by performing a real-time probabilistic calculation comprising a number of probability factors collectively exceeding the anomaly threshold.

12. The anomaly detection system of claim 11 , wherein the probability factors include a divergence factor between the current route and historical routes for the pick-up request.

13. The anomaly detection system of claim 7 , wherein the score is based, at least in part, on reputation indicators of the driver received or retrieved from third-party resources.

14. The anomaly detection system of claim 13 , wherein the reputation indicators of the driver include a complaint history against the driver.

15. A non-transitory computer readable medium storing instructions that, when executed by one or more processors of an anomaly detection system, cause the anomaly detection system to:
monitor, by receiving location data from a location-aware resource of a mobile device of a user or a driver, a current route traveled by the driver servicing a pick-up request for the user, the current route including an estimated time of arrival;
determine an anomaly threshold based, at least in part, on environmental data for a region that overlaps with at least a portion of the current route, the environmental data including at least one of traffic data, police report data, or crime data;
determine a probable anomaly in the current route based on the estimated time of arrival exceeding, by the anomaly threshold, a historical travel time for the current route, wherein determining the probable anomaly in the current route includes determining, using the location-aware resource of the mobile device of the user or the driver, that a geographic position of a vehicle of the driver coincides with the region; and
in response to determining the probable anomaly, perform one or more actions in accordance with a safety protocol, including transmitting a status query to the mobile device of the user or contacting an emergency authority to report the probable anomaly.

16. The non-transitory computer readable medium of claim 15 , wherein an initial action of the safety protocol comprises transmitting the status query to the mobile device of the user

Assignees

• Uber Technologies Inc

Inventors

• Truong Michael
• Purdy David
• Mawas Rami

Classifications

• H04L67/30

  Profiles · CPC title

• G06Q10/08

  Logistics, e.g. warehousing, loading or distribution; Inventory or stock management · CPC title

• H04W4/023

  using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds · CPC title

• H04L63/1425

  Traffic logging, e.g. anomaly detection · CPC title

• H04W4/029

  Location-based management or tracking services · CPC title