Personalized route calculation system for a vehicle

Patent metadata

Field	Value
Publication number	US-9494441-B2
Application number	US-201414444240-A
Country	US
Kind code	B2
Filing date	Jul 28, 2014
Priority date	Jul 28, 2014
Publication date	Nov 15, 2016
Grant date	Nov 15, 2016

Abstract

The personalized route planning system modifies a time or distance efficient route to a destination in response to a multiple of datasets to determine one or more personalized routes to the destination.

First claim

What is claimed:

1. A non-transitory computer storage media having embodied thereon computer-useable instructions that, when executed, perform a method, the method, comprising:
receiving a destination;
planning an efficient route to the destination, the efficient route to the destination including a time to the destination and a distance to the destination;
modifying the efficient route to the destination based on a multiple of datasets to determine a multiple of personalized routes to the destination, each of the multiple of personalized routes to the destination associated with different respective at least one of the multiple of datasets, and including a time to the destination, a distance to the destination, and a descriptor for its respective associated at least one of the multiple of datasets, with at least one of the time to the destination and the distance to the destination being greater than that for the efficient route to the destination;
displaying, together, the efficient route to the destination and, for selection by a user, each of the multiple of personalized routes to the destination, including, for each of the multiple of personalized routes to the destination, its time to the destination, its distance to the destination, and its descriptor for its respective associated at least one of the multiple of datasets;
receiving, from the user, a selection of a multiple of the displayed multiple of personalized routes to the destination; and
combining the selected multiple of the displayed multiple of personalized routes to the destination into a combined personalized route to the destination.

2. The method as recited in claim 1 , wherein one of the multiple of personalized routes to the destination is defined at least in part by avoidance of a predetermined area through which the efficient route passes.

3. The method as recited in claim 2 , wherein the predetermined area is an area with at least one of a predetermined frequency of vehicle accidents, a predetermined frequency of criminal activity, a particular road geometry, and a particular elevation.

4. The method as recited in claim 1 , wherein at least one of the multiple of datasets is an off board dataset.

5. The method as recited in claim 1 , wherein at least one of the multiple of datasets is a dataset that correlates potential roads to the destination with a frequency of vehicle accidents associated with those roads.

6. The method as recited in claim 1 , wherein at least one of the multiple of datasets is a dataset that correlates potential roads to the destination with a frequency of criminal activities along those roads.

7. The method as recited in claim 1 , wherein at least one of the multiple of datasets is a dataset that correlates potential roads to the destination with a frequency of moving violations along those roads.

8. The method as recited in claim 1 , wherein:
at least one of the multiple of datasets is a previously driven road dataset that correlates potential roads to the destination with a characteristic travel pattern of the user, and
one of the multiple of personalized routes to the destination is a high previously driven route to the destination associated with at least the previously driven road dataset.

9. The method as recited in claim 8 , wherein the high previously driven route to the destination is determined such that at least a portion of the high previously driven route to the destination is common to the characteristic travel pattern of the user.

10. The method as recited in claim 9 , wherein a maximum portion of the high previously driven route to the destination is common to the characteristic travel pattern of the user.

11. The method as recited in claim 10 , wherein the maximum portion of the high previously driven route to the destination is defined at least in part by a predetermined increase in time between the high previously driven route to the destination's time to the destination and that for the efficient route to the destination.

12. The method as recited in claim 8 , further comprising:
identifying the characteristic travel pattern of the user.

13. The method as recited in claim 12 , wherein the identifying is defined at least in part by a frequency of use of each road of a multiple of roads of the characteristic travel pattern of the user.

14. The method as recited in claim 12 , wherein the identifying is defined at least in part by a time that the user drives upon each road of a multiple of roads of the characteristic travel pattern of the user.

15. The method as recited in claim 12 , wherein the identifying is defined at least in part by a compass direction with respect to the user's home.

16. The method as recited in claim 12 , wherein the identifying is defined at least in part by an input by the user.

17. The method as recited in claim 1 , wherein the modification is in response to a multiple of user selections.

18. The method as recited in claim 17 , wherein each of the multiple of personalized routes to the destination accommodates at least one of the multiple of user selections.

19. The method as recited in claim 18 , wherein the combined personalized route to the destination accommodates those of the multiple of user selections accommodated by the selected multiple of the displayed multiple of personalized routes to the destination.

Assignees

• Toyota Motor Eng & Mfg North America Inc

Inventors

• Chou Warren Jing Po

Classifications

• G01C21/36

  Input/output arrangements for on-board computers · CPC title

• G01C21/3484 Primary

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title