APPARATUS AND METHODS FOR PROVIDING TAILORED INFORMATION TO VEHICLE USERS BASED ON VEHICLE COMMUNITY INPUT

• US 20140303806A1
• Filed: 04/04/2013
• Published: 10/09/2014
• Est. Priority Date: 04/04/2013
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: BAI, FAN, GRIMM, DONALD K., HRABAK, ROBERT A., NIEMAN, LEONARD C.
• Application Number:
  US13/856,622
• Publication Number:
  US 20140303806A1
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

The present disclosure relates to a method, for providing a relevant information set, based on vehicle crowd data, to vehicles. The method includes receiving, from a plurality of participating vehicles, vehicle crowd data relating to a condition sensed by the participating vehicles in a geographic area, yielding received vehicle crowd data. In one embodiment, the condition includes at least one pre-identified condition selected from a group consisting of cruise-control engagement, road hazard, icy road, other slick-road condition, and vehicle-security violation. The method also includes filtering the received vehicle crowd data, yielding relevant vehicle crowd data, and constructing, by the device, using the relevant vehicle crowd data, the relevant information set. The method further includes sending the relevant information set for delivery to one or more user vehicles associated with the geographic area.

Claims

1. A customer-service-center system, method, for providing a relevant information set, based on vehicle crowd data, to vehicles, the method comprising:

a processor; and

a non-transitory computer-readable storage device comprising computer-executable instructions that, when executed by the processor, cause the processor to perform operations, for providing a constructed information set, based on vehicle crowd data, to vehicles, comprising;

receiving, from a plurality of participating vehicles, vehicle crowd data relating to a condition sensed by the participating vehicles in a geographic area, yielding received vehicle crowd data, wherein the condition includes at least one pre-identified condition selected from a group consisting of;

cruise-control engagement;

road hazard;

icy road;

other slick-road condition; and

vehicle-security violation;

filtering the received vehicle crowd data, yielding filtered vehicle crowd data;

constructing, using the filtered vehicle crowd data, the constructed information set; and

sending the constructed information set for delivery to one or more user vehicles associated with the geographic area.

2. The method of claim 1, wherein the filtering includes determining, in connection with each item of received vehicle crowd data received, a relevance level.

3. The method of claim 2, wherein the relevance level is determined based at least in part on historic use of the vehicle from which the item of data was received.

4. The method of claim 2, wherein constructing the constructed information set includes maintaining a running value corresponding to the condition, and maintaining the running value comprises:

increasing the running value in response to determining that a positive-opinion item of data is received from a vehicle having a pre-determined relevance level; and

decreasing the running value in response to determining that a negative-opinion item of data is received from a vehicle having the pre-determined relevance level.

5. The method of claim 4, wherein maintaining the running value includes applying a time-decaying-opinion-intensity function, whereby, in addition to increasing and decreasing the running value based on any positive and negative opinions, the running value is decreased with time at a rate of a pre-determined decay speed.

6. The method of claim 1, wherein a participating vehicle is associated with the geographic area if the vehicle has a characteristic selected from a group consisting of:

being positioned in the geographic area;

being positioned near the geographic area; and

being expected to pass through or near the geographic area.

7. The method of claim 1, wherein:

at least some of the received vehicle crowd data is received with ancillary data selected from a group consisting of;

a location associated with the condition sensed;

a type of vehicle-security breach;

data received from a non-reporting-vehicle third-party device; and

historical data; and

the ancillary data is used in constructing the constructed information set.

8. The method of claim 1, wherein the vehicle includes an onboard system configured to communicate with the computing device using a proprietary protocol also used by the computing device.

9. The method of claim 1, wherein the constructed information set is constructed to have at least one characteristic selected from a group consisting of:

including a heat map identifying the condition;

being configured for use in rendering the heat map;

including an item-indicating map identifying the condition;

being configured for use in rendering the item-indicating map;

including a birds-eye view identifying the condition;

being configured for use in rendering the birds-eye view;

including perspective view identifying the condition;

being configured for use in rendering the perspective view;

having a message for textual presentation;

having a message for audible presentation; and

having an indication presentable haptically.

10. The method of claim 1, wherein the filtering is performed according to one of multiple algorithms depending on whether the condition is a sporadic-type condition or a frequent-reporting-type condition.

11. The method of claim 1, wherein the received vehicle crowd data includes at least two of:

vehicle-specific data;

vehicle-sensed environment data;

proximate-vehicle data;

pass-through data, obtained from a non-reporting-vehicle device; and

supporting data including one or more of historic data, user-profile data, vehicle-profile data, and statistics data related to a pre-determined vicinity.

12. The method of claim 1, wherein sending the constructed information set, for delivery to the one or more user vehicles associated with the geographic area, comprises transmitting the data to a third-party device configured to manipulate the constructed information data set and send the relevant information data set manipulated for receipt by the one or more user vehicles.

13. The method of claim 1, wherein:

the method further comprises identifying interested vehicles, of a candidate pool of receiving vehicles;

sending the constructed information set for delivery to the one or more user vehicles associated with the geographic area includes sending the constructed information set for delivery to the interested vehicles identified; and

identifying the interested vehicles, of the candidate pool, depends on at least one of past vehicle activity and user preference.

14. A customer-service-center system, method, for providing a relevant information set, based on vehicle crowd data, to vehicles, the method comprising:

a processor; and

a non-transitory computer-readable storage device comprising computer-executable instructions that, when executed by the processor, cause the processor to perform operations, for providing a constructed information set, based on vehicle crowd data, to vehicles, comprising;

receiving, from a plurality of participating vehicles, vehicle crowd data relating to a road condition sensed by the participating vehicles in a geographic area, yielding received vehicle crowd data;

filtering the received vehicle crowd data, yielding filtered vehicle crowd data, wherein the filtering includes determining, in connection with each item of received vehicle crowd data, a relevance level;

constructing, using the filtered vehicle crowd data, the constructed information set; and

sending the constructed information set for delivery to one or more user vehicles associated with the geographic area.

15. The method of claim 14, wherein determining the relevance level is based at least in part on historic use of the vehicle from which the item of data was received.

16. The method of claim 15, wherein the historic use relates to a frequency with which cruise control has been engaged at the vehicle from which the data item was received.

17. The method of claim 14, wherein:

constructing the constructed information set includes maintaining a condition-specific running value, corresponding to the condition; and

maintaining the running value comprises;

increasing the running value in response to determining that a positive-opinion item of data is received from a vehicle having a pre-determined relevance level; and

decreasing the running value in response to determining that a negative-opinion item of data is received from a vehicle having a pre-determined relevance level.

18. The method of claim 17, wherein maintaining the running value includes applying a time-decaying-opinion-intensity function whereby, in addition to increasing and decreasing the running value based on any positive-opinion and negative-opinion items of data, the running value is decreased with time according to a pre-determined decay speed.

19. The method of claim 14, wherein the filtering includes determining a severity level of at least some items of vehicle crowd data received, the level relating to a severity of the condition being reported by the item of vehicle crowd data.

20. A customer-service-center system, method, for providing a relevant information set, based on vehicle crowd data, to vehicles, the method comprising:

a processor; and

a non-transitory computer-readable storage device comprising computer-executable instructions that, when executed by the processor, cause the processor to perform operations, for providing a constructed information set, based on vehicle crowd data, to vehicles, comprising;

receiving, from a plurality of participating vehicles, vehicle crowd data relating to a condition sensed by the participating vehicles in a geographic area, yielding received vehicle crowd data;

filtering the received vehicle crowd data, yielding filtered vehicle crowd data, wherein;

the filtering includes estimating a value corresponding to the condition according to;

x(t)^E=Bx(t)+(1−

B)x(t−

T);

x(t)^E represents the value estimated;

B represents a pre-established weighted factor;

x(t) represents a present condition level, corresponding to the condition, the received vehicle crowd data, and a present time (t); and

x(t−

T) represents a recent condition level, corresponding to the condition, and a recent time (t−

T) separated from the present time (t) by a separation time (T);

constructing, using the filtered vehicle crowd data, the constructed information set; and

sending the constructed information set for delivery to one or more user vehicles associated with the geographic area.