Safe driving monitoring system

• US 9,848,289 B2
• Filed: 10/20/2016
• Issued: 12/19/2017
• Est. Priority Date: 03/08/2006
• Status: Expired due to Fees

• 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:
  US15/298,557
• Publication Number:
  US 20170041737A1
• Time in Patent Office: 425 Days
• Field of Search: 340438, 340439, 701 1, 701 291, 701 332, 701 334, 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 for tracking driving activity, comprising:

associating a personal device with a driver in a vehicle by establishing a driver presence in an operator position in the vehicle;

receiving driving parameters indicative of vehicle operation; and

transmitting the received driving parameters to a server for determining if the associated driver is engaging in a suspect activity while driving the vehicle by performing a Cauchy distribution for comparing the received driving parameters denoting the suspect activity with a severity scale indicative of a relative risk of the suspect activity, the relative risk based on values derived from driving parameters of other drivers;

the server further operable for;

accumulating the gathered parameters for computing a score of the driver based on the comparison;

concluding that a suspect activity is occurring based on the computed score; and

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

2. The method of claim 1 wherein the driver presence is defined by establishing communication with a telematics appliance affixed to the vehicle and connected to the vehicle for gathering sensor information indicative of vehicle movement.

3. The method of claim 2 wherein communications between the personal device and the telematics appliance includes at least one of Bluetooth, Bluetooth Low Energy, WiFi, near field communication (NFC) and transmissions under IEEE 802.11.

4. The method of claim 1 wherein communications between the personal device and the server includes at least one of Bluetooth, Bluetooth Low Energy (BLE), WiFi, near field communication (NFC) and transmissions under IEEE 802.11.

5. The method of claim 1 wherein the suspect activity includes one or more of the driving parameters exceeding a threshold based on a Cauchy distribution of the driving parameters.

6. The method of claim 5 wherein concluding the suspect activity includes identifying driver use of the personal device while in the vehicle, and reporting the suspect activity to the server.

7. The method of claim 6 wherein the use of the personal device includes texting, Internet browsing, voice communication, an app invocation.

8. The method of claim 1 wherein the personal device is a computing and telecommunications device specific to the user and adapted for wireless electronic communication and execution of apps defined by preprogrammed computing instructions.

9. The method of claim 2 wherein the telematics appliance includes an interface to an OBDII (On-Board Diagnostics II) network interconnecting vehicle sensors for sensing the driving parameters, the telematics appliance responsive to an app on the personal device for receiving the driving parameters.

10. The method of claim 5 wherein the driving parameters include scalar quantities indicative of vehicle motion and ambient conditions in which the vehicle is disposed, and the suspect activity includes at least one of driving parameters exceeding the threshold or operator usage of the personal device.

11. The method of claim 1 wherein the Cauchy distribution includes a distribution based on a first driving parameter translated by a second driving parameter.

12. The method of claim 1 wherein the server is responsive to a monitoring entity for retrieval of the suspect activity and retrieval of the driving parameters used for determining the suspect activity.

13. The method of claim 1 wherein the server is configured to aggregate suspect events gathered during a monitored interval, and for employing a Cauchy distribution for computing a severity of the event, the monitored interval defined by a time and a distance, the severity determining an impact on the computed score.

14. The method of claim 3 wherein associating the driver includes pairing the driver with a VIN (Vehicle Identification Number) of the vehicle by storing the VIN with an identifier of the personal device, the identifier of the personal device defined by at least one of MSISDN, ICCID, IMSI, BD_ADDR or MAC address.

19. The system of claim 1 wherein the suspect activity includes one or more of the driving parameters exceeding a threshold based on a Cauchy distribution of the driving parameters.

20. The system of claim 19 wherein the driving parameters include scalar quantities indicative of vehicle motion and ambient conditions in which the vehicle is disposed, and the suspect activity includes at least one of driving parameters exceeding the threshold or operator usage of the persona device.

15. A computer program product having computer program instructions stored on a non-transitory computer readable storage medium for performing a method for tracking driving habits, comprising:

associating a personal device with a driver in a vehicle by establishing a driver presence in an operator position in the vehicle;

gathering driving parameters indicative of vehicle operation;

transmitting the gathered driving parameters to a remote server for determining that the driver is engaging in a suspect activity while driving by invoking a Cauchy distribution for comparing the gathered driving parameters denoting the suspect activity with a severity scale indicative of a relative risk of the activity, the relative risk computed based on values derived from driving parameters of other drivers;

the server further operable for accumulating the gathered parameters for computing a score based on the comparison;

concluding that a suspect activity is occurring based on the computed score; and

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

16. The computer program product claim 15 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.

17. The computer program product of claim 16 wherein comparing further comprises:

determining a metric associated with the suspect activity;

computing a driving parameter associated with the determined metric;

comparing the driving parameter to a statistical distribution of events of other drivers for the same driving parameter; and

concluding a high severity if the driving parameter is outside a predetermined range of the statistical distribution.

18. A system for tracking vehicle driving behavior by a monitoring entity, comprising:

a personal device having an app for gathering driving parameters indicative of vehicle operation;

a telematics appliance disposed in the vehicle and operable to pair with the personal device for establishing a driver presence in an operator position in the vehicle the telematics appliance affixed to the vehicle and connected to the vehicle for gathering sensor information indicative of vehicle movement;

a remote server in communication with the personal device for receiving, processing and comparing the gathered driving parameters;

a network interface in the device and responsive to the app for transmitting the received driving parameters to the server for determining if the associated driver is engaging in a suspect activity while driving the vehicle by performing a Cauchy distribution for comparing the received driving parameters denoting the suspect activity with a severity scale indicative of a relative risk of the suspect activity, the relative risk based on values derived from driving parameters of other drivers;

the server further operable for;

accumulating the gathered parameters for computing a score of the driver based on the comparison;

concluding that a suspect activity is occurring based on the computed score; and

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