Measuring driving variability under potentially distracting conditions

• US 10,414,406 B2
• Filed: 03/01/2016
• Issued: 09/17/2019
• Est. Priority Date: 03/01/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Farrell, Robert G., Lenchner, Jonathan
• Primary Examiner(s): Dager, Jonathan M
• Assistant Examiner(s): Evans, Garrett F
• Application Number:
  US15/057,143
• Publication Number:
  US 20170253251A1
• Time in Patent Office: 1,295 Days
• Field of Search: None
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 40/09 Driving style or behaviour

Abstract

A method, executed by a computer, includes receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user and identifying a potentially distracting condition for the user encountered during the one or more driving sessions. The method also includes determining one or more distraction-free intervals and one or more distraction-present intervals corresponding to driving during the one or more driving sessions. The method also includes comparing movement data corresponding to the one or more distraction-free intervals with movement data corresponding to the one or more distraction-present intervals to produce distraction effect information. A computer system and computer program product corresponding to the method are also disclosed herein.

Claims

1. A method, executed by one or more processors, the method comprising:

receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user;

identifying a potentially distracting condition for the user encountered during the one or more driving sessions;

determining one or more distraction-free travel intervals for the one or more driving sessions where the potentially distracting condition does not occur;

determining one or more distraction-present travel intervals for the one or more driving sessions where the potentially distracting condition does occur; and

comparing movement data corresponding to the one or more distraction-free travel intervals with movement data corresponding to the one or more distraction-present travel intervals to produce distraction effect information, wherein the movement data comprises rotational data provided by a sensor mounted on a steering component of a device operated by the user, wherein the movement data is collected from the sensor that is proximate to or within the device during the one or more driving sessions, wherein the movement data is filtered to determine an amount of lateral movement and forward braking that occurs during the one or more driving sessions, wherein a threshold is selected based on the lateral movement and forward braking to identify sharp lateral movements and sudden brakes during the one or more driving sessions, and wherein lateral movement and forward braking that exceed the selected threshold are marked and compared to produce the distraction effect information;

wherein determining each of the one or more distraction-present travel intervals includes determining a starting location or time and an ending location or time for the potentially distracting condition.

2. The method of claim 1, wherein the one or more driving sessions include multiple sessions over an identical route.

3. The method of claim 2, wherein the one or more distraction-free travel intervals and the one or more distraction-present travel intervals occur over the identical route.

4. The method of claim 2, wherein the multiple sessions occur during a similar time of day.

5. The method of claim 2, wherein the multiple sessions occur during similar traffic conditions.

6. The method of claim 2, wherein the multiple sessions occur during similar environmental conditions.

7. The method of claim 2, wherein the identical route is a habitually selected route.

8. The method of claim 1, wherein the potentially distracting condition comprises a conversation.

9. The method of claim 8, wherein the conversation includes a remote party.

10. The method of claim 8, wherein the conversation includes a passenger.

11. The method of claim 1, wherein the potentially distracting condition comprises using an electronic device.

12. The method of claim 1, further comprising enlarging at least one of the distraction-present intervals to include a selected interval immediately previous to the starting time or location, or a selected interval immediately after the ending time or location.

13. A computer system comprising:

one or more computer processors;

one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising instructions to perform;

receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user;

identifying a potentially distracting condition for the user encountered during the one or more driving sessions;

determining one or more distraction-free travel intervals for the one or more driving sessions where the potentially distracting condition does not occur;

determining one or more distraction-present travel intervals for the one or more driving sessions where the potentially distracting condition does occur; and

comparing movement data corresponding to the one or more distraction-free travel intervals with movement data corresponding to the one or more distraction-present travel intervals to produce distraction effect information, wherein the movement data comprises rotational data provided by a sensor mounted on a steering component of a device operated by the user, wherein the movement data is collected from the sensor that is proximate to or within the device during the one or more driving sessions, wherein the movement data is filtered to determine an amount of lateral movement and forward braking that occurs during the one or more driving sessions, wherein a threshold is selected based on the lateral movement and forward braking to identify sharp lateral movements and sudden brakes during the one or more driving sessions, and wherein lateral movement and forward braking that exceed the selected threshold are marked and compared to produce the distraction effect information;

wherein determining each of the one or more distraction-present travel intervals includes determining a starting location or time and an ending location or time for the potentially distracting condition.

14. The computer system of claim 13, wherein the one or more driving sessions include multiple sessions over an identical route.

15. The computer system of claim 14, wherein the one or more distraction-free travel intervals and the one or more distraction-present travel intervals occur over the identical route.

16. The computer system of claim 14, wherein the multiple sessions occur during a similar time of day.

17. The computer system of claim 14, wherein the multiple sessions occur during similar traffic conditions.

18. The computer system of claim 14, wherein the multiple sessions occur during similar environmental conditions.

19. The computer system of claim 13, further comprising enlarging at least one of the distraction-present intervals to include a selected interval immediately previous to the starting time or location, or a selected interval immediately after the ending time or location.

20. A computer program product comprising:

one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising instructions to perform;

receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user;

identifying a potentially distracting condition for the user encountered during the one or more driving sessions;

determining one or more distraction-free travel intervals for the one or more driving sessions where the potentially distracting condition does not occur;

determining one or more distraction-present travel intervals for the one or more driving sessions where the potentially distracting condition does occur; and

comparing movement data corresponding to the one or more distraction-free travel intervals with movement data corresponding to the one or more distraction-present travel intervals to produce distraction effect information, wherein the movement data comprises rotational data provided by a sensor mounted on a steering component of a device operated by the user, wherein the movement data is collected from the sensor that is proximate to or within the device during the one or more driving sessions, wherein the movement data is filtered to determine an amount of lateral movement and forward braking that occurs during the one or more driving sessions, wherein a threshold is selected based on the lateral movement and forward braking to identify sharp lateral movements and sudden brakes during the one or more driving sessions, and wherein lateral movement and forward braking that exceed the selected threshold are marked and compared to produce the distraction effect information;

wherein determining each of the one or more distraction-present travel intervals includes determining a starting location or time and an ending location or time for the potentially distracting condition.