Safe driving monitoring system

• US 10,484,825 B2
• Filed: 01/25/2019
• Issued: 11/19/2019
• Est. Priority Date: 03/08/2006
• Status: Active Grant

• Current Assignee: Octo Advisory Inc.
• Original Assignee: Octo Advisory Inc.
• Inventors: Fischer, Richard W., Fischer, Jonathan R., Ricaurte, William A.
• Primary Examiner(s): Pope, Daryl C
• Application Number:
  US16/257,909
• Publication Number:
  US 20190158983A1
• Time in Patent Office: 298 Days
• Field of Search: 340438, 340439, 701 1, 701 291, 701 36, 701 70, 701 93, 701400, 701408, 701409, 701430, 701461, 701463, 707737, 707748
• 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: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• 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
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/46 for vehicle-to-vehicle communication [V2V]
• CPC Class Codes: H04W 4/48 for in-vehicle communication
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: H04W 64/006 with additional information processing, e.g. for direction or speed determination
• CPC Class Codes: H04W 84/12 WLAN [Wireless Local Area Networks]

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 of detecting distracted driving, comprising:

associating a mobile device with a vehicle driver;

detecting suspect activity associated with the vehicle driver based at least in part on mobile device movement data;

generating a suspect activity record comprising the mobile device movement data associated with the detected suspect activity; and

providing the suspect activity record and an identifier of the vehicle driver to a repository.

2. The method of claim 1, wherein detecting the suspect activity associated with the vehicle driver is based at least in part on data identifying use of the mobile device.

3. The method of claim 2, wherein the data identifying use of the mobile device includes data indicating the vehicle driver is using the mobile device while in a vehicle.

4. The method of claim 2, wherein the data identifying use of the mobile device includes data indicating movement of the mobile device.

5. The method of claim 2, wherein the use of the mobile device includes one or more of texting, email access, Internet browsing, voice communication, and app use.

6. The method of claim 1, wherein the mobile device movement data includes data from an accelerometer.

7. The method of claim 6, wherein the data from the accelerometer includes one or more of acceleration, g-force, change in g-force, velocity, angular velocity, and change in position.

8. The method of claim 6, wherein accelerometer is associated with the mobile device.

9. The method of claim 1, wherein the mobile device movement data includes data indicating an orientation of the mobile device in the vehicle.

10. The method of claim 1, wherein the mobile device movement data includes one or more of angular velocity data representing a turn of a vehicle, acceleration data representing acceleration of the vehicle, and deceleration data representing braking of the vehicle.

11. The method of claim 1, wherein the mobile device movement data includes a location indication of the mobile device.

12. The method of claim 1, further comprising generating a display representing the suspect activity record.

13. The method of claim 12, wherein the display includes a map including one or more of locations of a vehicle during a trip and a location where the suspect activity occurred.

14. The method of claim 12, wherein the display includes of one or more events associated with the vehicle driver, the events including the suspect activity.

15. The method of claim 14, wherein the events associated with the vehicle driver include one or more of driving, system, and summary events.

16. The method of claim 1, wherein the mobile device movement data include global position satellite (GPS) data associated with mobile device.

17. The method of claim 1, further comprising generating a driver safety score based at least in part on the suspect activity record.

18. The method of claim 17, wherein the driver safety score is associated with a driving session.

19. The method of claim 17, wherein the driver safety score represents one or more of measurement of abrupt actions, sudden movements, vehicle acceleration, vehicle speed, and use of the mobile device.

20. A computer-implemented system for detecting distracted driving, comprising:

a processor; and

a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when cause the processor to;

associate a mobile device with a vehicle driver;

detect suspect activity associated with the vehicle driver based at least in part on mobile device movement data;

generate a suspect activity record comprising the mobile device movement data associated with the detected suspect activity; and

provide the suspect activity record and an identifier of the vehicle driver to a repository.

21. A computer program product encoded as instructions stored on a non-transitory computer readable storage medium, the instructions comprising:

associating a mobile device with a vehicle driver;

detecting suspect activity associated with the vehicle driver based at least in part on mobile device movement data;

generating a suspect activity record comprising the mobile device movement data associated with the detected suspect activity; and

providing the suspect activity record and an identifier of the vehicle driver to a repository.