Safe driving monitoring system

• US 9,477,639 B2
• Filed: 03/21/2013
• Issued: 10/25/2016
• Est. Priority Date: 03/08/2006
• Status: Expired due to Fees

• Current Assignee: Octo Advisory Inc.
• Original Assignee: Speed Demon Inc.
• Inventors: Fischer, Jonathan R., Fischer, Richard W., Ricaurte, William A.
• Primary Examiner(s): Holwerda, Stephen
• Application Number:
  US13/848,230
• Publication Number:
  US 20130297097A1
• Time in Patent Office: 1,314 Days
• Field of Search: 340/438, 340/439, 701/1, 701/29.1, 701/33.2, 701/33.4, 701/36, 701/70, 701/93, 701/400, 701/408, 701/409, 701/430, 701/461, 701/463, 707/737, 707/748
• US Class Current: 1/1
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network
• CPC Class Codes: G01P 1/122 Speed recorders
• CPC Class Codes: G01P 1/14 for permanent recording G01P1/125 takes precedence
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 17/00 Digital computing or data processing equipment or methods, specially adapted for specific functions information retrieval, database structures or file system structures therefor G06F16/00
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/085 using electronic data carriers
• CPC Class Codes: G08G 1/0962 having an indicator mounted inside the vehicle, e.g. giving voice messages
• CPC Class Codes: G08G 1/205 Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental

Abstract

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

Claims

1. A method for tracking driving habits, comprising:

receiving an indication of an association of a personal device with a driver in a vehicle, the personal device being a telecommunications and computing device associated with a driver of the vehicle;

determining that the driver is engaging in a suspect activity while driving;

comparing the suspect activity with a severity scale indicative of a relative risk of the activity, comparing further comprising;

determining a metric associated with the suspect activity;

computing a first driving parameter associated with the determined metric;

comparing the driving parameter to a statistical distribution, including a Cauchy distribution translated by a second driving parameter, of events of other drivers for the first driving parameter, the first driving parameter being a scalar quantity pertaining to vehicle motion and the second driving parameter based on ambient conditions; and

concluding a high severity if the driving parameter is outside a predetermined range of the Cauchy distribution;

computing a score based on the comparison; and

reporting the determined suspect activity and the score to a repository for accumulating a renderable driving history of the driver indicative of distracted driving events.

2. The method of claim 1 further comprising determining a plurality of the suspect activities and corresponding score and computing an aggregate score based on the plurality of reported suspect activities.

3. The method of claim 1 wherein the suspect activity is excessive speed, the driving parameter is vehicle speed.

4. The method of claim 1 wherein the suspect activity includes invoking applications on the personal device, and comparing the invoked application to a set of distracting applications.

5. The method of claim 1 wherein determining the suspect activity includes:

receiving a user selection of a road type and a threshold speed for that road type;

determining that the vehicle is traveling on the road type by reference to a GPS location and external road classification database; and

determining that the vehicle is exceeding the threshold speed for the road type.

6. The method of claim 1 further comprising associating the personal device with the vehicle by:

identifying a positioning device disposed in the vehicle of a monitored driver, the positioning device being a telematics unit responsive to the personal device.

7. The method of claim 1 wherein the suspect activity includes at least one of speeding, sharp turning, sudden acceleration, sudden deceleration, the metric includes one of speed, angular velocity, linear acceleration, and the driving parameter includes speed and angular force measurable on a linear scale to driving parameters of other drivers.

8. The method of claim 1 further comprising confirming operation of the personal device by:

receiving a location indication of the personal device;

receiving a location indication of the positioning device;

comparing the received location indications to conclude driver presence in the vehicle.

9. The method of claim 8 further comprising concluding passenger status by

receiving a location indication of the personal device

receiving a location indication of the positioning device;

identifying a mismatch of the location indications as indicative of passenger status of a user corresponding to the personal device.

10. The method of claim 1 further comprising invoking the association of the personal device via near field communication (NFC) based on proximity to the vehicle, the application invoked automatically each time the driver enters the vehicle.

11. The method of claim 3 wherein determining a speed further comprises receiving a plurality of GPS signals over a time interval, the GPS signals received via a telematics appliance in the vehicle, such that a native GPS receiver on the personal device imposes no battery drain.

12. The method of claim 1 further comprising

receiving a driving parameter from the associated device, the driving parameter indicative of the suspect activity;

determining, based on the received driving parameter, a metric adapted to rank the suspect activity associated with the driving parameter; and

comparing the computed score to scores computed for other drivers.

13. The method of claim 1 further comprising ranking the score based on the scores of other drivers using a Cauchy distribution.

14. The method of claim 1 further comprising

receiving a first stream of distracted driving parameters from the device

identifying a second stream of server side inputs, and

invoking a Cauchy distribution for analyzing the first and second input streams.

15. The method of claim 1 wherein computing further comprises invoking a Cauchy distribution for identifying a relative risk presented by the computed score based on scores computed for other drivers.

16. The method of claim 1 wherein the Cauchy distribution is based on a nautical twilight indicative of whether the vehicle is being driven at day or night.

17. A method for tracking driving events, comprising:

determining, via a personal device associated with a driver in a vehicle, a speed of the vehicle based on a computed positioning of the personal device;

receiving a user defined speed threshold corresponding to a road type determined from the position of the vehicle, the threshold defined for the road type, the personal device being a telecommunications and computing device associated with a driver of the vehicle;

receiving a location indication of the personal device;

receiving a location indication of a positioning device;

comparing the received location indications to conclude driver presence in the vehicle; and

comparing a first driving parameter indicative of the speed to the received threshold and reporting the determined speed and the road type if the determined speed exceeds the threshold corresponding to the road type currently being traveled for rendering a driving history of the driver indicative of distracted driving events, comparing further comprising;

comparing the driving parameter to a statistical distribution, including a Cauchy distribution translated by a second driving parameter, of events of other drivers for the first driving parameter, the first driving parameter being a scalar quantity pertaining to vehicle motion and the second driving parameter based on ambient conditions including the road type;

concluding a high severity if the driving parameter is outside a predetermined range of the Cauchy distribution;

computing a score based on the comparison; and

reporting the determined suspect activity and the score to a repository for accumulating a renderable driving history of the driver indicative of distracted driving events.

18. The method of claim 17 wherein determining the position further comprises receiving a positioning signal from a telematics appliance in the vehicle, the telematics appliance receiving the positioning signal from a remote source, receiving the positioning signal from the telematics appliance consuming less energy than receiving the positioning signal from the remote source.

19. The method of claim 17 further comprising:

receiving a user selection of a road type and a threshold speed for that road type;

determining that the vehicle is traveling on the road type; and

determining that the vehicle is exceeding the threshold speed for the road type.

20. The method of claim 17 wherein the driving parameters include speed, location, time of day, accelerometer g-force, fuel usage, device app usage, and device keystrokes.