VEHICLE ROUTING AND NOTIFICATIONS BASED ON DRIVING CHARACTERISTICS

• US 20180238701A1
• Filed: 02/23/2017
• Published: 08/23/2018
• Est. Priority Date: 02/23/2017
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Liebinger, Franz F., Monge Nunez, Roxana, Rodriguez, Juan G., Zamora Duran, Edgar A.
• Granted Patent: US 10,712,163 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 2540/10 Accelerator pedal position
• CPC Class Codes: B60W 2540/12 Brake pedal position
• CPC Class Codes: B60W 2540/14 Clutch pedal position
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: B60W 60/00 Drive control systems specially adapted for autonomous road vehicles
• CPC Class Codes: G01C 21/3461 Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G01C 21/3617 using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
• CPC Class Codes: G01C 21/3626 Details of the output of route guidance instructions traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G01C 21/3691 Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions arrangements for giving variable traffic instructions G08G1/09
• CPC Class Codes: G01S 19/42 Determining position

Abstract

Data indicating current driving characteristics of a driver driving a vehicle can be received in real time. A driving profile for the driver can be determined based on the data. The driving profile can be categorized into a driving pattern category. A plurality of candidate travel routes for the driver to reach an intended destination can be identified and, for each of the candidate travel routes, a plurality of route segments can be identified. Based on the driving pattern category, a probability that the current driving characteristics of the driver will cause a traffic accident can be determined for each of the plurality of route segments. Route segments for which the probability that the current driving characteristics of the driver will cause the traffic accident exceeds a threshold value can be determined. A notification can be communicated to the driver or vehicle indicating such probability.

Claims

1-8. -8. (canceled)

9. A system, comprising:

a processor programmed to initiate executable operations comprising;

receiving, in real time, data indicating current driving characteristics of a driver driving a vehicle, the data indicating the current driving characteristics being generated, at least in part, by a plurality of sensors in the vehicle;

based on the data indicating the current driving characteristics of the driver, determining a driving profile for the driver;

categorizing the driving profile for the driver into a driving pattern category;

determining an intended destination of the driver driving the vehicle;

identifying a plurality of candidate travel routes for the driver to reach the intended destination and, for each of the candidate travel routes, identifying a plurality of route segments;

based on the driving pattern category into which the driving profile is categorized, determining, for each of the plurality of route segments, a probability that the current driving characteristics of the driver will cause a traffic accident;

determining the route segments for which the probability that the current driving characteristics of the driver will cause the traffic accident exceeds a threshold value; and

communicating to the driver or the vehicle a notification indicating that the probability that the current driving characteristics of the driver will cause the traffic accident exceeds the threshold value on the determined route segments.

10. The system of claim 9, the executable operations further comprising:

determining at least one of the plurality of candidate routes comprising the route segments for which the probability that the current driving characteristics of the driver will cause the traffic accident does not exceed the threshold value; and

communicating to the driver or the vehicle a notification indicating a suggestion to travel the determined at least one of the plurality of candidate routes.

11. The system of claim 9, the executable operations further comprising:

determining whether the driving profile for the driver fits an existing driving pattern category; and

responsive to determining that the driving profile for the driver does not fit the existing driving pattern category, automatically creating a new driving pattern category in which the driving profile for the driver fits;

wherein categorizing the driving profile for the driver into the driving pattern category comprises categorizing the driving profile for the driver into the new driving pattern category.

12. The system of claim 9, the executable operations further comprising:

identifying at least one event currently affecting travel on at least one of the plurality of route segments;

wherein determining the probability that the current driving characteristics of the driver will cause the traffic accident is based, in part, on the event affecting travel on at least one of the plurality of route segments.

13. The system of claim 9, wherein the driving profile for the driver further is based on historical driving characteristics generated for the driver, on at least one previous day, within a time window that includes a time of day that is a same time of day as a current time.

14. The system of claim 13, wherein the at least one previous day is a same day of a week as a current day.

15. The system of claim 9, the executable operations further comprising:

determining a road type for at least one of the plurality of route segments;

wherein the driving pattern category is defined for that road type.

16. The system of claim 9, the executable operations further comprising:

determining a current weather condition or temperature on at least one of the plurality of route segments;

wherein the driving pattern category is defined for that weather condition or temperature.

17. A computer program product comprising a computer readable storage medium having program code stored thereon, the program code executable by a processor to perform a method comprising:

receiving, by the processor in real time, data indicating current driving characteristics of a driver driving a vehicle, the data indicating the current driving characteristics being generated, at least in part, by a plurality of sensors in the vehicle;

based on the data indicating the current driving characteristics of the driver, determining, by the processor, a driving profile for the driver;

categorizing, by the processor, the driving profile for the driver into a driving pattern category;

determining, by the processor, an intended destination of the driver driving the vehicle;

identifying, by the processor, a plurality of candidate travel routes for the driver to reach the intended destination and, for each of the candidate travel routes, identifying, by the processor, a plurality of route segments;

based on the driving pattern category into which the driving profile is categorized, determining, by the processor, for each of the plurality of route segments, a probability that the current driving characteristics of the driver will cause a traffic accident;

determining, by the processor, the route segments for which the probability that the current driving characteristics of the driver will cause the traffic accident exceeds a threshold value; and

communicating, by the processor, to the driver or the vehicle a notification indicating that the probability that the current driving characteristics of the driver will cause the traffic accident exceeds the threshold value on the determined route segments.

18. The computer program product of claim 17, the method further comprising:

determining at least one of the plurality of candidate routes comprising the route segments for which the probability that the current driving characteristics of the driver will cause the traffic accident does not exceed the threshold value; and

communicating to the driver or the vehicle a notification indicating a suggestion to travel the determined at least one of the plurality of candidate routes.

19. The computer program product of claim 17, the method further comprising:

determining whether the driving profile for the driver fits an existing driving pattern category; and

responsive to determining that the driving profile for the driver does not fit the existing driving pattern category, automatically creating a new driving pattern category in which the driving profile for the driver fits;

wherein categorizing the driving profile for the driver into the driving pattern category comprises categorizing the driving profile for the driver into the new driving pattern category.

20. The computer program product of claim 17, the method further comprising:

identifying at least one event currently affecting travel on at least one of the plurality of route segments;

wherein determining the probability that the current driving characteristics of the driver will cause the traffic accident is based, in part, on the event affecting travel on at least one of the plurality of route segments.

21. The computer program product of claim 17, wherein the driving profile for the driver further is based on historical driving characteristics generated for the driver, on at least one previous day, within a time window that includes a time of day that is a same time of day as a current time.

22. The computer program product of claim 21, wherein the at least one previous day is a same day of a week as a current day.

23. The computer program product of claim 17, the method further comprising:

determining a road type for at least one of the plurality of route segments;

wherein the driving pattern category is defined for that road type.

24. The computer program product of claim 17, the method further comprising:

determining a current weather condition or temperature on at least one of the plurality of route segments;

wherein the driving pattern category is defined for that weather condition or temperature.