Method and Apparatus for Vehicle-Based Data Gathering

• US 20150260537A1
• Filed: 05/28/2015
• Published: 09/17/2015
• Est. Priority Date: 02/27/2012
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: MacNeille, Perry Robinson, Gusikhin, Oleg Yurievitch, Liu, Yimin, Schunder, Mark
• Granted Patent: US 9,310,216 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3415 Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
• CPC Class Codes: G01C 21/3476 using point of interest [POI] information, e.g. a route passing visible POIs
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 50/00 Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism healthcare informatics G16H
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/024 Guidance services

Abstract

A computer implemented method includes accessing a list containing one or more items for purchase. The method further includes receiving a vehicle location. The method also includes searching for one or more stores within a predefined distance of the vehicle location, which sell at least one item from the list, and the prices those stores offer. Additionally, the method includes recommending a stop at at least one of the one or more stores, and providing directions to a store for which a stop was recommended.

Claims

1. A computer-implemented method comprising:

receiving a desired route end-time;

calculating time remaining until the end-time once a vehicle is within a predetermined distance-to-destination;

searching, once the vehicle is within the predetermined distance-to-destination, for a store selling an item from a stored shopping list;

estimating travel-time to the store;

and

recommending a detour to the store, based on the travel-time to the store and subsequent travel to a destination being less than the time remaining.

2. The method of claim 1, wherein the estimating travel-time further includes estimating an amount of time to purchase the item, wherein the recommending is further based on the amount of time to purchase the at least one item, added to the travel-time and subsequent travel to the destination, being less than the time remaining.

3. The method of claim 1, further comprising, setting a check point along the route, wherein the searching is performed at the check point.

4. The method of claim 3, wherein the searching is performed at each of a plurality of check points until a detour to a recommended store is made by the vehicle or a destination is reached.

5. The method of claim 4, wherein the calculating time remaining includes adding a tolerance to time remaining based on distance from the destination.

6. The method of claim 5, wherein the tolerance is greater the further from a destination the vehicle is.

7. The method of claim 1, further including:

detecting that the vehicle has stopped in proximity to the store for which a detour was recommended;

querying a user as to the item from the stored shopping list was purchased at the store; and

removing any items purchased at the store from the list.

8. A system comprising:

a processor configured to;

populate a list of stores along a predetermined route that sell products corresponding to products on a stored shopping list;

set a stopping point along the route near a store on the list;

determine a time-to-destination when the stopping point is reached; and

recommend a detour to the store if a time-to-destination is less than an amount of time remaining before a desired arrival time.

9. The system of claim 8, wherein the processor is further configured to recommend the detour if the time-to-destination plus a projected detour-time is less than the amount of time remaining before a desired arrival time.

10. The system of claim 9, wherein the projected detour-time includes an estimated shopping time.

11. The system of claim 8, wherein the processor is further configured to calculate the time remaining before the desired arrival time to include traffic between the stopping point and a route destination.

12. The system of claim 8, wherein the processor is further configured to calculate the time remaining before the desired arrival time to include weather delays between the stopping point and a route destination.

13. The system of claim 8, wherein the processor is further configured to calculate the time remaining before the desired arrival time to include a tolerance based on distance between the stopping point and a route destination.

14. The system of claim 13, wherein the tolerance is greater the further from a destination a vehicle is.

15. A computer-implemented method comprising:

receiving a desired route end-time;

calculating time remaining until the end-time once a vehicle reaches a predetermined stopping point;

estimating travel-time to a store, associated with the predetermined stopping point, selling an item from a stored shopping list; and

recommending a detour to the store, based on the travel-time to the store and subsequent travel to a destination being less than the time remaining.

16. The method of claim 15, wherein the predetermined stopping point is set based on proximity to the store.

17. The method of claim 15, wherein the estimating travel-time further includes estimating an amount of time to purchase the item, wherein the recommending is further based on the amount of time to purchase the at least one item, added to the travel-time and subsequent travel to the destination, being less than the time remaining.

18. The method of claim 15, wherein the recommending is further based on the item or a plurality of items sold at the store having more than a predetermined cost.

19. The method of claim 15, wherein items on the stored shopping list have associated user-defined levels-of-importance.

20. The method of claim 19, wherein the recommending is further based on a level-of-importance associated with the item being above a predefined threshold level.