Detection of vehicle operation characteristics

• US 9,830,823 B1
• Filed: 08/25/2016
• Issued: 11/28/2017
• Est. Priority Date: 08/25/2016
• Status: Active Grant

• Current Assignee: AirBNB Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Chainer, Timothy J., McVicker, Gerard, Parida, Pritish R.
• Primary Examiner(s): Nguyen, Tai T
• Application Number:
  US15/247,863
• Time in Patent Office: 460 Days
• Field of Search: 340903, 340901, 340988, 340438, 701 1, 701201, 701202, 701206-207, 701209
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/164 Centralised systems, e.g. external to vehicles
• CPC Class Codes: G08G 1/205 Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

A system for identifying hazardous driving behaviors is presented. Position and motion data from a plurality of vehicles are uploaded to a data center. For each vehicle, the system computes a set of hazard metric for identifying hazardous driving behaviors based on the position and motion information received from the plurality of vehicles. A hazardous vehicle is identified based on the computed hazard metric for the plurality of vehicles. The system reports a set of information regarding the hazardous vehicle to an agency.

Claims

1. A method comprising:

receiving, by a remote data center computing device, from a plurality of vehicles, corresponding position and motion information of the plurality of vehicles;

for each vehicle of the plurality of vehicles, computing hazard metrics for identifying hazardous driving behaviors based on the position and motion information received from the plurality of vehicles;

identifying a hazardous vehicle based on the computed hazard metrics for the plurality of vehicles;

reporting a set of information regarding the hazardous vehicle to an agency;

identifying one or more vehicles from the plurality of vehicles as being endangered by the hazardous vehicle, based on the received position and motion information of each of the plurality of vehicles; and

issuing a warning to the identified one or more endangered vehicles.

2. The method of claim 1, wherein the hazard metrics of a vehicle are computed based on its relative speed and distance from other vehicles.

3. The method of claim 1, wherein computing the hazard metrics of a vehicle comprise determining, based on the motion and position information received from the plurality of vehicles, whether the vehicle is closer than a threshold distance to another vehicle for over a threshold period of time.

4. The method of claim 1, wherein the hazard metrics for a vehicle comprises a metric for detecting tail-gating based on the motion and position information received from the plurality of vehicles.

5. The method of claim 1, wherein the hazard metrics for a vehicle comprises a metric for detecting an abrupt lane change based on the motion and position information received from the plurality of vehicles.

6. The method of claim 1, wherein the agency is an insurance company associated with the identified hazard vehicle.

7. The method of claim 1, wherein the hazard metrics of a vehicle are based on a speed of the vehicle and a condition of the road that the vehicle is traveling on.

8. The method of claim 1, wherein the hazard metrics of a vehicle are based on a history of the motion information of the vehicle over an interval of time.

9. A remote data center computing device comprising:

a set of processing units; and

a computer readable storage medium storing sets of instructions, wherein an execution of the sets of instructions by the processor configures the processor to perform acts comprising;

for each vehicle of a plurality of vehicles, computing hazard metrics for identifying hazardous driving behaviors based on a position and motion information received from the vehicle;

identifying a hazardous vehicle based on the computed hazard metrics for the plurality of vehicles;

reporting a set of information regarding the hazardous vehicle to an agency;

identifying one or more vehicles from the plurality of vehicles as being endangered by the hazardous vehicle, based on the received position and motion information of each of the plurality of vehicles; and

issuing a warning to the identified one or more endangered vehicles.

10. The computing device of claim 9, wherein the hazard metrics of a vehicle are computed based on its relative speed and distance from other vehicles.

11. The computing device of claim 9, wherein computing the hazard metrics of a vehicle comprises determining, based on the motion and position information received from the plurality of vehicles, whether the vehicle is closer than a threshold distance to another vehicle for over a threshold period of time.

12. The computing device of claim 9, wherein the hazard metrics for a vehicle comprise a metric for detecting tail-gating based on the motion and position information received from the plurality of vehicles.

13. The computing device of claim 9, wherein the hazard metrics for a vehicle comprise a metric for detecting abrupt lane-changing based on the motion and position information received from the plurality of vehicles.

14. The computing device of claim 9, wherein the agency is an insurance company associated with the identified hazard vehicle.

15. The computing device of claim 9, wherein the hazard metrics of a vehicle are based on a speed of the vehicle and a condition of the road that the vehicle is traveling on.

16. The computing device of claim 9, wherein the hazard metrics of a vehicle are based on a history of the motion information of the vehicle over an interval of time.

17. A method comprising:

receiving, by a remote data center computing device, from a plurality of vehicles, corresponding position and motion information of the plurality of vehicles;

identifying a hazardous vehicle based on the received position and motion information;

identifying a set of vehicles that are endangered by the hazardous vehicle based on the received position and motion information; and

issuing a warning to the identified set of endangered vehicles regarding the hazardous vehicle.

18. The method of claim 17, wherein identifying the hazardous vehicle comprises:

computing, by a remote data center computing device, a hazard metric for each of the plurality of vehicles based on the received position and motion information; and

identifying a vehicle having a hazard metric that is above a threshold.

19. The method of claim 17, wherein identifying the set of endangered vehicles comprises identifying vehicles that are positioned within a distance of the hazardous vehicle.

20. The method of claim 17, wherein identifying the set of endangered vehicles comprises computing a projected path of the hazardous vehicle and identifying vehicles that are likely to be in the projected path of the hazardous vehicle.

21. The method of claim 17, wherein the hazard metric of a vehicle is based on a speed of the vehicle and a condition of the road that the vehicle is traveling on.

22. The method of claim 17, wherein the hazard metric of a vehicle is based on a history of the motion information of the vehicle over an interval of time.