Method for analyzing operation characteristics of a vehicle driver

• US 9,830,748 B2
• Filed: 02/24/2015
• Issued: 11/28/2017
• Est. Priority Date: 04/13/2012
• Status: Active Grant

• Current Assignee: Walter Steven Rosenbaum
• Original Assignee: Walter Steven Rosenbaum
• Inventors: Rosenbaum, Walter Steven
• Primary Examiner(s): INGRAM, THOMAS P
• Application Number:
  US14/630,257
• Publication Number:
  US 20150170438A1
• Time in Patent Office: 1,008 Days
• CPC Class Codes: G01C 21/28 with correlation of data from several navigational instruments
• 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: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/085 using electronic data carriers
• CPC Class Codes: G07C 5/0858 wherein the data carrier is removable

Abstract

A method analyzes characteristics of a vehicle driver, especially for insurance purposes. The method is performed by a cooperation of an analyzing vehicle system in a vehicle and a stationary processing unit remote from the vehicle. The analyzing vehicle system determines a driver operation characteristics parameter from the driving vehicle and sends the parameter to the stationary processing unit. The stationary processing unit derives a metric from that parameter as driver operation characteristics.

Claims

1. A method for analyzing operation characteristics of a vehicle driver, the method comprising:

providing an analyzing vehicle system in a vehicle for acquiring location data and speed data of the vehicle, the analyzing vehicle system including a base device fixed to the vehicle and a mobile device selectively removable from the vehicle;

determining a driver operation characteristics parameter in the analyzing vehicle system in the vehicle, wherein the parameter is a plurality of position coordinates acquired by a position sensor and speed data of the vehicle, and wherein the speed data are separated from those location data that indicate a position where a specific speed was driven in different files containing either the location data or the respective speed data in a way that a direct correlation between speed data and corresponding location data is destroyed due to the separation and in a way that prevents re-association of any individual speed value with a specific coordinate point indicating where the speed was driven, and wherein the speed data are mixed in order in its file;

transmitting the parameter from the analyzing vehicle system to a stationary processing unit distal from the vehicle; and

determining a driver operation characteristic within the stationary processing unit.

2. The method according to claim 1, wherein the analyzing vehicle system further includes a location unit.

3. The method according to claim 1, wherein a plurality of parameter data, being acceleration and deceleration data acquired by a motion detector mounted to the vehicle, are processed to an integrated parameter value by the vehicle analyzing system and transmitted to the stationary processing unit which compares a metric derived from the integrated parameter value with metrics analogously derived for other drivers.

4. The method according to claim 1, wherein:

the base device and the mobile devices engage in communication using a handshake communication protocol;

multiple handshakes occur at predefined instants of time;

communication between the base device and the mobile device is terminated after a handshake process;

after communication is terminated, the base device and the mobile device operate independently from one another, and at least one of the base device and the mobile device operates in an analyzing mode to collect parameter data.

5. The method according to claim 4, wherein if a handshake fails one of the base device and the mobile device monitors a parameter of a movement of the vehicle and stores parameter data together with the information that the handshake failed.

6. The method according to claim 1, wherein a rate of determining the parameter selected from the group consisting of speed, acceleration, average speed, average acceleration, speed metrics and/or acceleration metrics is varied by the vehicle system upon observation of special events during the vehicle travel.

7. The method according to claim 1, wherein the parameter is a plurality of position coordinates of the vehicle determined by the analyzing vehicle system at random instants of time.

8. The method according to claim 7, wherein the plurality of position coordinates of the vehicle are stored as entries in a file of the vehicle system and the sequence of entries of the file is randomized by the vehicle system.

9. The method according to claim 8, which comprises randomizing the sequence of entries in the file while maintaining the individual point coordinates unchanged.

10. The method according to claim 1, wherein during the movement of the vehicle the analyzing vehicle system determines the speed of the vehicle, generates speed data, stores the speed data in a file, integrates the speed data to a superior speed value, and erases the speed data from the file.

11. The method according to claim 1, wherein during the movement of the vehicle the vehicle system determines multiple travel route trend lines separated by a predefined travel parameter.

12. The method according to claim 11, wherein a calculation of the trend lines is performed via a series of least squares error first order polynomial fit of the general form Y=a+bX and wherein the predefined travel parameter is a monotonic decrease in b.

13. The method according to claim 12, wherein the predefined travel parameter is a direction change of the travelling route of the vehicle.

14. The method according to claim 1, wherein the parameter is a plurality of speed data of the travelling speed of the vehicle, wherein the analyzing vehicle system determines an average speed value of the vehicle over a driving distance and sends this value to the stationary processing unit, and wherein the stationary processing unit compares the speed value to an average speed limit of more than one different speed limits over that distance.

15. The method according to claim 14, wherein the comparison by the stationary processing unit results in a speed difference from which the stationary processing unit derives a driving risk value from an actuarial parameter and feeds the speed difference and the driving risk value back to the driver.

16. A method for analyzing operation characteristics of a vehicle driver, comprising:

providing an analyzing vehicle system in a vehicle with a position sensor for acquiring location data of the vehicle, the analyzing vehicle system including a base device fixed to the vehicle and a mobile device selectively removable from the vehicle;

determining a driver operation characteristics parameter in the analyzing vehicle system in the vehicle;

transmitting the parameter to a stationary processing unit; and

determining a driver operation characteristic within the stationary processing unit;

during a movement of the vehicle, determining with the analyzing vehicle system position coordinates of the vehicle and camouflaging the position coordinates so determined by a position error by adding an error to the determined position coordinates so determined; and

calculating a travel route trend line from the camouflaged position coordinates.

17. The method according to claim 16, wherein the position coordinates are received as GPS sets of positional coordinates and the position error is generated by adding a random error to at least one of the x or y coordinates.

18. The method according to claim 16, wherein the position error is generated by inducing random fluctuations into the Circular Error Probability (CEP) with which the GPS sets of positional coordinates are resolved.

19. The method according to claim 18, wherein the random circle diameter is adapted to the driving environment, resulting in a larger diameter in areas of low road density in rural areas, and smaller diameter in areas of high street density in urban areas.

20. The method according to claim 16, wherein the trend line covers a plurality of alternative routes which could have been driven by the vehicle so that the trend line does not mirror the actual route taken by a vehicle but leaves open which route the vehicle took.

21. The method according to claim 16, wherein a plurality of trend lines are generated as straight direction trend lines separated by a predefined travel parameter of the vehicle, like direction change of the travelling route.

22. The method according to claim 16, wherein the trend line is generated by the vehicle system and uploaded to the stationary processing unit.

23. The method according to claim 16, wherein the trend line is be overlaid on a digital road map to approximate mileage driven by the vehicle.

24. The method according to claim 16, wherein the driver operation characteristics parameter is a vehicle speed, the individual speed values from points within the trend line are combined to trend line speed information.

25. The method according to claim 16, wherein:

the determined position coordinates are camouflaged by randomizing their sequence in the file comprising the location data;

the camouflaged position coordinates are sent to the stationary processing unit as exact location data, the stationary processing unit calculates a speed reference, such as average statutory speed limit, from the position coordinates;

a plurality of speed references are combined to an average speed reference over the trend line;

the trend line speed information is compared to the average speed reference; and

a delta between the two average speed values is calculated as speed metrics for each trend line separately.

26. The method according to claim 25, wherein the trend line speed information is an average speed within the trend line.

27. The method according to claim 16, wherein the error is a random numerical value.

28. The method according to claim 16, wherein the error is a predefined numerical value.