Automated intervention to modify driving behaviors

Patent metadata

Field	Value
Publication number	US-10276045-B2
Application number	US-201715595044-A
Country	US
Kind code	B2
Filing date	May 15, 2017
Priority date	Mar 22, 2016
Publication date	Apr 30, 2019
Grant date	Apr 30, 2019

Abstract

A computer-implemented method includes receiving a data stream, the data stream including one or more driving factors. The computer-implemented method further includes comparing the one or more driving factors to one or more known driving factors to identify a driving scenario. The computer-implemented method further includes monitoring the driving scenario for a risk. Monitoring the driving scenario for a risk further includes detecting the risk. The computer-implemented method further includes generating an intervention, wherein the intervention is generated based on detecting the risk for the driving scenario. A corresponding computer system and computer program product are also disclosed.

First claim

What is claimed is:

1. A computer-implemented method comprising:
generating a first type of intervention, wherein the first type of intervention is based, at least in part, on detecting a first occurrence of a risk associated with a first type of driving scenario;
determining, based on a first reaction to the first intervention, that the first intervention does not minimize the first occurrence of the risk for the first type of driving scenario;
modifying the first type of intervention to yield a second type of intervention;
determining, based on a second reaction to the second type of intervention, that the second type of intervention does minimize the first occurrence of the risk associated with the first type of driving scenario;
terminating, responsive to determining that the second type of intervention minimized the first occurrence of the risk associated with the first type of driving scenario, the second type of intervention;
detecting a second occurrence of the risk associated with the first type of driving scenario; and
generating the second type of intervention for the second occurrence of the risk associated with the first type of driving scenario based, at least in part, on determining that the second type of intervention minimized the first occurrence of the risk associated with the first type of driving scenario.

2. The computer-implemented method of claim 1 , wherein the first type of driving scenario is identified based, at least in part, on:
identifying one or more driving factors; and
comparing the one or more driving factors to one or more known driving factors.

3. The computer-implemented method of claim 1 , wherein detecting the first occurrence of the risk and the second occurrence of the risk is based, at least in part, on:
one or more rules associated with the first type of driving scenario.

4. The computer-implemented method of claim 1 , further comprising:
detecting the second occurrence of the risk associated with the first type of driving scenario; and
skipping generating the first type of intervention for the second occurrence of the risk associated with the first type of driving scenario based on determining that the second type of intervention did not minimize the first occurrence of the risk associated with the first type of driving scenario.

5. The computer-implemented method of claim 1 , wherein at least one of the first intervention and the second intervention includes dampening a turnability of a steering wheel.

6. The computer-implemented method of claim 5 , wherein:
the steering wheel is operationally secured to a steering shaft; and
the steering shaft includes a damper.

7. A computer program product, the 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:
generate a first type of intervention, wherein the first type of intervention is based, at least in part, on detecting a first occurrence of a risk associated with a first type of driving scenario;
determine, based on a first reaction to the first intervention, that the first intervention does not minimize the first occurrence of the risk for the first type of driving scenario;
modify the first type of intervention to yield a second type of intervention;
determine, based on a second reaction to the second type of intervention, that the second type of intervention does minimize the first occurrence of the risk associated with the first type of driving scenario;
terminate, responsive to determining that the second type of intervention minimized the first occurrence of the risk associated with the first type of driving scenario, the second type of intervention;
detect a second occurrence of the risk associated with the first type of driving scenario; and
generate the second type of intervention for the second occurrence of the risk associated with the first type of driving scenario based, at least in part, on determining that the second type of intervention minimized the first occurrence of the risk associated with the first type of driving scenario.

8. The computer program product of claim 7 , wherein the first type of driving scenario is identified based, at least in part, on instructions to:
identify one or more driving factors; and
compare the one or more driving factors to one or more known driving factors.

9. The computer program product of claim 7 , wherein the instructions to detect the first occurrence of the risk and the second occurrence of the risk is based, at least in part, on:
one or more rules associated with the first type of driving scenario.

10. The computer program product of claim 7 , further comprising instructions to:
detect the second occurrence of the risk associated with the first type of driving scenario; and
skip generating the first type of intervention for the second occurrence of the risk associated with the first type of driving scenario based on determining that the second type of intervention did not minimize the first occurrence of the risk associated with the first type of driving scenario.

11. A computer system, the computer system comprising:
one or more computer processors;
one or more computer readable storage media;
computer program instructions;
the computer program instructions being stored on the one or more computer readable storage media;
the computer program instructions comprising instructions to:
generate a first type of intervention, wherein the first type of intervention is based, at least in part, on detecting a first occurrence of a risk associated with a first type of driving scenario;
determine, based on a first reaction to the first intervention, that the first intervention does not minimize the first occurrence of the risk for the first type of driving scenario;
modify the first type of intervention to yield a second type of intervention;
determine, based on a second reaction to the second type of intervention, that the second type of intervention does minimize the first occurrence of the risk associated with the first type of driving scenario;
terminate, responsive to determining that the second type of intervention minimized the first occurrence of the risk associated with the first type of driving scenario, the second type of intervention;
detect a second occurrence of the risk associated with the first type of driving scenario; and
generate the second type of intervention for the second occurrence of the risk associated with the first type of driving scenario based, at least in part, on determining that the second type of intervention minimized the first occurrence of the risk associated with the first type of driving scenario.

12. The computer system of claim 11 , wherein the first type of driving scenario is identified based, at least in part, on instructions to:
identify one or more driving factors; and
compare the one or more driving factors to one or more known driving factors.

13. The computer system of claim 11 , wherein the instructions to detect the first occurrence of the risk and the second occurrence of the risk is based, at least in part, on:
one or more rules associated with the first type of driving scenario.

14. The computer system of claim 11 , further comprising instructions to:
detect the second occurrence of the risk associated with the first type of driving scenario; and
skip generating the first type of intervention for the second occurrence of the risk associated with the first type of driving scenario based on determining that the second type

Assignees

• IBM

Inventors

• Lan Ci-Wei
• Liu Wen Zhu
• Ni Dong
• Qu Yiping
• Sun yu wei
• Yue Li
• Xu Jie
• Zhang Ting Ting

Classifications

• G08G1/052

  with provision for determining speed or overspeed {(speed measuring in general G01P)} · CPC title

• B62D15/029

  Steering assistants using warnings or proposing actions to the driver without influencing the steering system · CPC title

• B62D15/025 Primary

  Active steering aids, e.g. helping the driver by actively influencing the steering system after environment evaluation (B62D1/28 takes precedence) · CPC title

• B60W50/14

  Means for informing the driver, warning the driver or prompting a driver intervention · CPC title

• B60W10/20

  including control of steering systems · CPC title