Detecting vehicle collisions based on mobile computing device data

Patent metadata

Field	Value
Publication number	US-10540832-B2
Application number	US-201815902302-A
Country	US
Kind code	B2
Filing date	Feb 22, 2018
Priority date	Jan 31, 2017
Publication date	Jan 21, 2020
Grant date	Jan 21, 2020

Abstract

A network computing system receives local device data from a mobile computing device of a person within a vehicle. The local device data may include sensor data from one or more sensors of the mobile computing device, and location data determined from a position-determination resource of the mobile computing device. The network computing system may detect a vehicle collision event based on the local device data. Additionally, the network computing system may determine a classification of the vehicle collision event based on the local device data.

First claim

What is being claimed is:

1. A network computer system comprising:
a memory to store a set of instructions;
one or more processors executing the set of instructions, causing the one or more processors to:
receive local device data transmitted from a mobile computing device of at least one of multiple occupants of a vehicle while the vehicle is providing transport;
detect that a vehicle collision event has occurred based on at least a portion of the local device data;
subsequent to detecting that the vehicle collision event has occurred, determine a classification of the vehicle collision event by comparing a feature set associated with the vehicle collision event to a collection of models that correlate to collision severity;
determine a plurality of actions to perform based at least in part on the classification of the vehicle collision event, the plurality of actions including a first action for at least a first occupant of the vehicle, and at least a second action for at least a second occupant of the vehicle, the second action being different than the first action; and
automatically initiate performance of the plurality of actions;
wherein the plurality of actions includes (i) obtaining trip information identifying a destination location for the first occupant, and (ii) arranging a second vehicle to provide transport for the first occupant from a location of the vehicle collision event to the destination location.

2. The network computer system of claim 1 , wherein the plurality of actions includes a first set of actions that are part of a workflow for the first occupant, and a second set of actions that are part of a workflow for the second occupant.

3. The network computer system of claim 1 , wherein the second action includes:
obtaining emergency contact information; and
providing a notification of the vehicle collision event, using the emergency contact information.

4. The network computer system of claim 1 , wherein the first action includes communicating information to an emergency service.

5. The network computer system of claim 1 , wherein determining plurality of actions includes:
determining one or more service providers that are traveling towards the location of the vehicle collision event based on (i) a route determined for each of the one or more service providers and (ii) location data from a position-determination resource of the mobile computing device that indicates the location of the vehicle collision event;
determining an alternative route for each of the one or more service providers that are on route to the location of the vehicle collision event or pass through the location of the vehicle collision event; and
transmitting a rerouting instruction to each of the one or more service providers that are on route to the location of the vehicle collision event or pass through the location of the vehicle collision event.

6. The network computer system of claim 5 , wherein determining the plurality of actions includes:
assigning each of the one or more service providers to a service request that includes a set of service-related parameters, the set of service-related parameters including one or more service locations.

7. The network computer system of claim 6 , wherein the rerouting instruction is based, at least in part, on the one or more service locations.

8. The network computer system of claim 1 , wherein determining the plurality of actions comprises:
determining an area of congestion based, at least in part, on (i) location data from a position-determination resource of the mobile computing device that indicates the location of the vehicle collision event, and (ii) traffic information;
determining one or more service providers that are traveling towards the area of congestion based, at least in part, on (i) the area of congestion, (ii) a route determined for each of the one or more service providers, and (iii) location data from a position-determination resource of a mobile computing device of each of the one or more service providers; and
transmitting a rerouting instruction to the mobile computing device of each of the one or more service providers that are on route to the area of congestion.

9. The network computer system of claim 1 , wherein the local device data includes (i) sensor data from one or more sensors of the mobile computing device, and (ii) location data determined from a position-determination resource of the mobile computing device.

10. The network computer system of claim 9 , wherein the sensor data includes movement data obtained from at least one of an accelerometer or gyroscope of the mobile computing device.

11. The network computer system of claim 9 , wherein the sensor data includes environmental sensor data obtained from at least one of a barometer, thermometer or microphone of the mobile computing device.

12. The network computer system of claim 11 , wherein at least one of detecting the vehicle collision event or determining the classification of the vehicle collision event includes processing the environmental sensor data to detect one or more of (i) an airbag deployment, (ii) broken glass within the vehicle, or (iii) an utterance for assistance from at least one of the multiple occupants.

13. The network computer system of claim 1 , wherein the classification includes at least one of (i) a first level in which a likelihood of injury is below a first threshold probability, and (ii) a second level in which a likelihood of injury is above a second threshold probability.

14. The network computer system of claim 1 , wherein the memory further stores profile information for each of the multiple occupants of the vehicle, the profile information associating each of the multiple occupants with an account identifier, and wherein execution of the set of instructions further causes the one or more processors to:
retrieve the profile information that is specific to each of the multiple occupants of the vehicle based on the account identifier associated with that occupant, wherein determining the plurality of actions to perform is further based on the retrieved profile information that is specific to that occupant.

15. The network computer system of claim 1 , wherein execution of the set of instructions further cause the one or more processors to:
in response to detecting the vehicle collision event, initiate one or more operations to corroborate the vehicle collision event.

16. The network computer system of claim 15 , wherein the one or more operations to corroborate the vehicle collision event includes:
obtaining additional local device data from the mobile computing device.

17. The network computer system of claim 16 , wherein the one or more operations to corroborate the vehicle collision event further includes:
identifying one or more proximate vehicles of service providers within a proximity distance threshold from the location of the vehicle collision event, based on (i) location data from a position-determination resource of the mobile computing device that indicates the location of the vehicle collision event, and (ii) location data from a positioning-determination resource of a mobile computing device of each of the one or more proximate vehicles of service providers; and
obtaining additional local device data from the mobile computing device of each of the one or more proximate vehicles of service providers.

18. A non-transitory computer readable medium that stores instructions, which when executed by one or more processors of a network computing system, cause the network computin

Assignees

• Uber Technologies Inc

Inventors

• Wahba Karim
• Tyagi Dhruv
• Beinstein Andrew
• Prasad Amritha
• Lawrence Audrey
• Alvarez Jose
• Pennington Steve
• Trachtman Corin

Classifications

• G06Q10/00 Primary

  Administration; Management · CPC title

• G07C5/0808 Primary

  Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005) · CPC title

• B60R2021/0027

  Post collision measures, e.g. notifying emergency services · CPC title

• B60R21/00

  Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks (safety belts or body harnesses in vehicles B60R22/00; seats constructed to protect the occupant from the effect of abnormal g-forces, e.g. crash or safety seats, B60N2/42; energy-absorbing arrangements for hand wheels for steering vehicles B62D1/11; energy-absorbing arrangements for vehicle steering columns B62D1/19) · CPC title

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title