ENRICHED CONNECTED CAR ANALYSIS SERVICES

• US 20170057492A1
• Filed: 08/25/2015
• Published: 03/02/2017
• Est. Priority Date: 08/25/2015
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Jones, Kristina E., Edgington, Jeffrey L., Kwan, Hung Tack, Mathai, Shiju
• Granted Patent: US 10,272,921 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60K 28/066 actuating a signalling device B60K28/063 takes precedence
• CPC Class Codes: B60W 2040/0836 due to alcohol
• CPC Class Codes: B60W 2540/043 Identity of occupants
• CPC Class Codes: B60W 2540/24 Drug level, e.g. alcohol
• CPC Class Codes: B60W 2540/30 Driving style
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/08 related to drivers or passengers

Abstract

Contextualizing vehicle data and predicting real-time driver actions. By unsiloing collected data relating to a driver, the actions of the driver can be predicted and the reasons for variations from the predicted actions can be determined based on the contextualized data.

Claims

1. A method comprising:

determining a driver of a vehicle based, at least in part, on a set of data collected from a set of vehicle data sensors;

gathering a set of context data from the set of vehicle data sensors and a set of external data sensors; and

predicting a set of actions to be taken by the driver based, at least in part, on the set of context data;

wherein;

the set of vehicle data sensors captures data within the vehicle;

the set of external sensors captures data external to the vehicle; and

at least determining the driver is performed by computer software running on computer hardware.

2. The method of claim 1, wherein:

the set of context data indicates the driver is intoxicated.

3. The method of claim 1, further comprising:

determining that the driver did not take at least one action in the predicted set of actions; and

taking a preventative action;

wherein;

a preventative action is one of;

communicating with the driver, communicating with a second vehicle, or communicating with a public safety system.

4. The method of claim 1, wherein the set of data collected from a set of vehicle data sensors includes a set of biometric data identifying the driver.

5. The method of claim 1, wherein predicting a set of actions to be taken by the driver occurs in real-time.

6. The method of claim 1, wherein determining the driver of the vehicle includes:

comparing the set of data collected from the set of vehicle data sensors to a set of stored driver profiles; and

determining a driver profile that corresponds to the driver.

7. The method of claim 6, wherein predicting the set of actions to be taken by the driver includes:

analyzing the set of context data;

analyzing the driver profile that corresponds to the driver; and

determining the set of actions to be taken by the driver, based on the set of context data and the driver profile that corresponds to the driver;

wherein;

the driver profile that corresponds to the driver includes a set of historical driver data based, at least in part, on a set of previous driving events.

8. A computer program product comprising:

a computer readable storage medium having stored thereon;

first instructions executable by a device to cause the device to determine a driver of a vehicle based, at least in part, on a set of data collected from a set of vehicle data sensors;

second instructions executable by a device to cause the device to gather a set of context data from the set of vehicle data sensors and a set of external data sensors; and

third instructions executable by a device to cause the device to predict a set of actions to be taken by the driver based, at least in part, on the set of context data;

wherein;

the set of vehicle data sensors captures data within the vehicle; and

the set of external sensors captures data external to the vehicle.

9. The computer program product of claim 8, wherein:

the set of context data indicates the driver is intoxicated.

10. The computer program product of claim 8, further comprising:

fourth instructions executable by a device to cause the device to determine that the driver did not take at least one action in the predicted set of actions; and

fifth instructions executable by a device to cause the device to take a preventative action;

wherein;

a preventative action is one of;

communicating with the driver, communicating with a second vehicle, or communicating with a public safety system.

11. The computer program product of claim 8, wherein the set of data collected from a set of vehicle data sensors includes a set of biometric data identifying the driver.

12. The computer program product of claim 8, wherein the third instructions to predict a set of actions to be taken by the driver occurs in real-time.

13. The computer program product of claim 8, wherein first instructions to determine the driver of the vehicle include:

fourth instructions executable by a device to cause the device to compare the set of data collected from the set of vehicle data sensors to a set of stored driver profiles; and

fifth instructions executable by a device to cause the device to determine a driver profile that corresponds to the driver.

14. A computer system comprising:

a processor set; and

a computer readable storage medium;

wherein;

the processor set is structured, located, connected, and/or programmed to run instructions stored on the computer readable storage medium; and

the instructions include;

first instructions executable by a device to cause the device to determine a driver of a vehicle based, at least in part, on a set of data collected from a set of vehicle data sensors;

second instructions executable by a device to cause the device to gather a set of context data from the set of vehicle data sensors and a set of external data sensors; and

third instructions executable by a device to cause the device to predict a set of actions to be taken by the driver based, at least in part, on the set of context data;

wherein;

the set of vehicle data sensors captures data within the vehicle; and

the set of external sensors captures data external to the vehicle.

15. The computer system of claim 14, wherein:

the set of context data indicates the driver is intoxicated.

16. The computer system of claim 14, further comprising:

fourth instructions executable by a device to cause the device to determine that the driver did not take at least one action in the predicted set of actions; and

fifth instructions executable by a device to cause the device to take a preventative action;

wherein;

a preventative action is one of;

communicating with the driver, communicating with a second vehicle, or communicating with a public safety system.

17. The computer system of claim 14, wherein the set of data collected from a set of vehicle data sensors includes a set of biometric data identifying the driver.

18. The computer system of claim 14, wherein the third instructions to predict a set of actions to be taken by the driver occurs in real-time.

19. The computer system of claim 14, wherein first instructions to determine the driver of the vehicle include:

fourth instructions executable by a device to cause the device to compare the set of data collected from the set of vehicle data sensors to a set of stored driver profiles; and

fifth instructions executable by a device to cause the device to determine a driver profile that corresponds to the driver.

20. The computer system of claim 19, wherein predicting the set of actions to be taken by the driver includes:

sixth instructions executable by a device to cause the device to analyze the set of context data;

seventh instructions executable by a device to cause the device to analyze the driver profile that corresponds to the driver; and

eighth instructions executable by a device to cause the device to determine the set of actions to be taken by the driver, based on the set of context data and the driver profile that corresponds to the driver;

wherein;

the driver profile that corresponds to the driver includes a set of historical driver data based, at least in part, on a set of previous driving events.