Trip anomaly detection system
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.
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, and wherein a subsequent action in the safety protocol comprises contacting the emergency authority to report the probable anomaly.
17. The non-transitory computer readable medium of claim 16 , 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.
18. The non-transitory computer readable medium of claim 15 , 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.
19. The non-transitory computer readable medium of claim 15 , 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.
20. The non-transitory computer readable medium of claim 19 , wherein the probability factors include a divergence factor between the current route and historical routes for the pick-up request.