Warning driver of intent of others

• US 10,089,880 B2
• Filed: 11/08/2016
• Issued: 10/02/2018
• Est. Priority Date: 11/08/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bender, Michael, Childress, Edward T., Childress, Rhonda L., Muchmore, Donald L.
• Primary Examiner(s): King, Curtis
• Assistant Examiner(s): Foxx, Chico A
• Application Number:
  US15/346,280
• Publication Number:
  US 20180130354A1
• Time in Patent Office: 693 Days
• Field of Search: None
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

A driver action system for monitoring traffic and capturing specific information about the car and the driver from a GPS device and other IoT sensors. Driver history and tendencies can provide insight into a driver'"'"'s intention while on the road. The system will analyze the collected information and broadcast an alert to other drivers in the same area. A broadcast to the other devices or users in the area would include the probability or percentage of the driver taking a particular action or a lack of familiarity with the area.

Claims

1. A method of warning drivers of intent of other drivers in an area comprising the steps of:

a computer detecting a location of a vehicle and a first driver in real time;

the computer monitoring traffic and road conditions in the location of the vehicle in real time;

the computer analyzing information collected during monitoring via cognitive analysis to determine at least one driver pattern of the first driver wherein the at least one driver pattern includes probable movements of the first driver in a given location accounting for location, time of day, weather and type of car and to generate a driver probability representing driver actions of the first driver for the given location; and

if the driver probability is greater than a threshold, sending a warning regarding the at least one driver pattern to at least one second driver in the location which may be impacted by the first driver.

2. The method of claim 1, wherein the warning is sent via IoT sensors.

3. The method of claim 1, wherein the warning is received by the at least one second driver via a global positioning receiver of a global positioning system in a vehicle being driven by the at least one second driver.

4. The method of claim 1, wherein the driver probability is based on at least historical actions of the first driver.

5. The method of claim 1, wherein once the first driver reaches a final destination, the driver actions of the first driver are used to learn driver behaviors of the first driver and to update the at least one driver pattern.

6. The method of claim 1, wherein the warning includes an action for the second driver to take based on a level of risk to the second driver.

7. A computer program product for warning drivers of intent of other drivers in an area, a computer comprising at least one processor, one or more memories, one or more computer readable storage media, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by the computer to perform a method comprising:

detecting, by the computer, a location of a vehicle and a first driver in real time;

monitoring, by the computer, traffic and road conditions in the location of the vehicle in real time;

analyzing, by the computer, information collected during monitoring via cognitive analysis to determine at least one driver pattern of the first driver wherein the at least one driver pattern includes probable movements of the first driver in a given location accounting for location, time of day, weather and type of car and to generate a driver probability representing driver actions of the first driver for the given location; and

if the driver probability is greater than a threshold, sending, by the computer, a warning regarding the at least one driver pattern to at least one second driver in the location which may be impacted by the first driver.

8. The computer program product of claim 7, wherein the warning is sent via IoT sensors.

9. The computer program product of claim 7, wherein the driver probability is based on at least historical actions of the first driver.

10. The computer program product of claim 7, wherein once the first driver reaches a final destination, the driver actions of the first driver are used to learn driver behaviors of the first driver and to update the at least one driver pattern.

11. The computer program product of claim 7, wherein the warning includes an action for the second driver to take based on a level of risk to the second driver.

12. The computer program product of claim 7, wherein the warning is received by the at least one second driver via a global positioning receiver of a global positioning system in a vehicle being driven by the at least one second driver.

13. A computer system for warning drivers of intent of other drivers in an area, the computer system comprising a computer comprising at least one processor, one or more memories, one or more computer readable storage media having program instructions executable by the computer to perform the program instructions comprising:

detecting, by the computer, a location of a vehicle and a first driver in real time;

monitoring, by the computer, traffic and road conditions in the location of the vehicle in real time;

analyzing, by the computer, information collected during monitoring via cognitive analysis to determine at least one driver pattern of the first driver wherein the at least one driver pattern includes probable movements of the first driver in a given location accounting for location, time of day, weather and type of car and to generate a driver probability representing driver actions of the first driver for the given location; and

if the driver probability is greater than a threshold, sending, by the computer, a warning regarding the at least one driver pattern to at least one second driver in the location which may be impacted by the first driver.

14. The computer system of claim 13, wherein the warning is sent via IoT sensors.

15. The computer system of claim 13, wherein the driver probability is based on at least historical actions of the first driver.

16. The computer system of claim 13, wherein once the first driver reaches a final destination, the driver actions of the first driver are used to learn driver behaviors of the first driver and to update the at least one driver pattern.

17. The computer system of claim 13, wherein the warning includes an action for the second driver to take based on a level of risk to the second driver.

18. The computer system of claim 13, wherein the warning is received by the at least one second driver via a global positioning receiver of a global positioning system in a vehicle being driven by the at least one second driver.