METHOD AND APPARATUS FOR DETERMINING A DROP-OFF AND A PICK-UP LOCATION BASED ON FITNESS GOALS

• US 20150377635A1
• Filed: 06/27/2014
• Published: 12/31/2015
• Est. Priority Date: 06/27/2014
• Status: Abandoned Application

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: BEAUREPAIRE, Jerome, TUUKKANEN, Marko Tapio
• Application Number:
  US14/317,971
• Publication Number:
  US 20150377635A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3423 Multimodal routing, i.e. combining two or more modes of transportation, where the modes can be any of, e.g. driving, walking, cycling, public transport
• CPC Class Codes: G05D 1/021 specially adapted to land vehicles

Abstract

An approach is provided for determining a drop-off location, a pick-up location, or a combination thereof at a certain time period based, at least in part, on user fitness targets, user preferences, or a combination thereof. The approach involves determining at least one user location associated with at least one user. The approach also involves determining fitness parameter information associated with the at least one user. The approach further involves causing, at least in part, a calculation of at least one drop-off location, at least one pick-up location, or a combination thereof with respect to the at least one user location based, at least in part, on the fitness parameter information. The approach also involves causing, at least in part, a configuration of at least one vehicle to travel to the at least one drop-off location, at least one pick-up location, or a combination thereof.

Claims

1. A method comprising:

determining at least one user location associated with at least one user;

determining fitness parameter information associated with the at least one user;

causing, at least in part, a calculation of at least one drop-off location, at least one pick-up location, or a combination thereof with respect to the at least one user location based, at least in part, on the fitness parameter information; and

causing, at least in part, a configuration of at least one vehicle to travel to the at least one drop-off location, at least one pick-up location, or a combination thereof.

2. A method of claim 1, wherein the at least one vehicle is an autonomous vehicle, and wherein the at least one user location includes, at least in part, at least one current location, at least one destination location, or a combination thereof.

3. A method of claim 1, further comprising:

causing, at least in part, a monitoring of health sensor information, fitness performance information, or a combination thereof associated with the at least one user during travel by the at least one user from the at least one user location to the at least one drop-off location, the at least one pick-up location, or a combination thereof;

causing, at least in part, a recalculation of the at least one drop-off location, the at least one pick-up location, or a combination thereof based, at least in part, on the monitoring of the health sensor information; and

causing, at least in part, a synchronization of the recalculation of the at least one drop-off location, the at least one pick-up location, or a combination thereof to the at least one vehicle.

4. A method of claim 3, further comprising:

processing and/or facilitating a processing of the health sensor information to determine at least one health condition associated with the at least one user; and

causing at least one of;

an override of the at least one drop-off location, the at least one pick-up location, or a combination thereof;

a presentation of at least one alert message regarding the at least one health condition;

a directing of the at least one vehicle to at least one current location of the at least one user to collect additional sensor information, to deliver one or more supplies, to request user interaction with the at least one vehicle, or a combination thereof; and

a collection of additional health sensor information by one or more sensors of the at least one vehicle.

5. A method of claim 1, further comprising:

processing and/or facilitating a processing of the fitness parameter information to recommend at least one fitness activity for the user to engage in during travel between the at least one user location and the at least one drop-off location, the at least one pick-up location, or a combination thereof.

6. A method of claim 5, wherein the at least one fitness activity includes, at least in part, a walking activity, a running activity, a bicycling activity, a swimming activity, or a combination thereof.

7. A method of claim 1, further comprising:

determining contextual information associated with the at least one user, the at least one user location, or a combination thereof,

wherein the calculation of the at least one at least one drop-off location, the at least one pick-up location, or a combination thereof is further based, at least in part, on the contextual information.

8. A method of claim 7, further comprising:

determining scenery information, terrain information, or a combination thereof associated with the at least one user location,

wherein the calculation of the at least one at least one drop-off location, the at least one pick-up location, or a combination thereof is further based, at least in part, on the scenery information, the terrain information, or a combination thereof.

9. A method of claim 1, wherein the at least one user includes a plurality of users, the method further comprising:

causing, at least in part, an aggregation of the fitness parameter information for the plurality of users,

wherein the calculation of the at least one at least one drop-off location, the at least one pick-up location, or a combination thereof is further based, at least in part, on the aggregation; and

wherein the aggregation is performed based, at least in part, on a weakest one of the plurality of users, a strongest one of the plurality of users, an average of the plurality of users, or a combination thereof.

10. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

determine at least one user location associated with at least one user;

determine fitness parameter information associated with the at least one user;

cause, at least in part, a calculation of at least one drop-off location, at least one pick-up location, or a combination thereof with respect to the at least one user location based, at least in part, on the fitness parameter information; and

cause, at least in part, a configuration of at least one vehicle to travel to the at least one drop-off location, at least one pick-up location, or a combination thereof.

11. An apparatus of claim 10, wherein the at least one vehicle is an autonomous vehicle, and wherein the at least one user location includes, at least in part, at least one current location, at least one destination location, or a combination thereof.

12. An apparatus of claim 10, wherein the apparatus is further caused to:

cause, at least in part, a monitoring of health sensor information, fitness performance information, or a combination thereof associated with the at least one user during travel by the at least one user from the at least one user location to the at least one drop-off location, the at least one pick-up location, or a combination thereof;

cause, at least in part, a recalculation of the at least one drop-off location, the at least one pick-up location, or a combination thereof based, at least in part, on the monitoring of the health sensor information; and

cause, at least in part, a synchronization of the recalculation of the at least one drop-off location, the at least one pick-up location, or a combination thereof to the at least one vehicle.

13. An apparatus of claim 12, wherein the apparatus is further caused to:

process and/or facilitate a processing of the health sensor information to determine at least one health condition associated with the at least one user; and

cause at least one of;

an override of the at least one drop-off location, the at least one pick-up location, or a combination thereof;

a presentation of at least one alert message regarding the at least one health condition;

a directing of the at least one vehicle to at least one current location of the at least one user to collect additional sensor information, to deliver one or more supplies, to request user interaction with the at least one vehicle, or a combination thereof and

a collection of additional health sensor information by one or more sensors of the at least one vehicle.

14. An apparatus of claim 10, wherein the apparatus is further caused to:

process and/or facilitate a processing of the fitness parameter information to recommend at least one fitness activity for the user to engage in during travel between the at least one user location and the at least one drop-off location, the at least one pick-up location, or a combination thereof.

15. An apparatus of claim 14, wherein the at least one fitness activity includes, at least in part, a walking activity, a running activity, a bicycling activity, a swimming activity, or a combination thereof.

16. An apparatus of claim 10, wherein the apparatus is further caused to:

determine contextual information associated with the at least one user, the at least one user location, or a combination thereof,

wherein the calculation of the at least one at least one drop-off location, the at least one pick-up location, or a combination thereof is further based, at least in part, on the contextual information.

17. An apparatus of claim 16, wherein the apparatus is further caused to:

determine scenery information, terrain information, or a combination thereof associated with the at least one user location,

wherein the calculation of the at least one at least one drop-off location, the at least one pick-up location, or a combination thereof is further based, at least in part, on the scenery information, the terrain information, or a combination thereof.

18. A computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps:

determine at least one user location associated with at least one user;

determine fitness parameter information associated with the at least one user;

cause, at least in part, a calculation of at least one drop-off location, at least one pick-up location, or a combination thereof with respect to the at least one user location based, at least in part, on the fitness parameter information; and

cause, at least in part, a configuration of at least one vehicle to travel to the at least one drop-off location, at least one pick-up location, or a combination thereof.

19. A computer-readable storage medium of claim 18, wherein the at least one vehicle is an autonomous vehicle, and wherein the at least one user location includes, at least in part, at least one current location, at least one destination location, or a combination thereof.

20. A computer-readable storage medium of claim 18, wherein the apparatus is further caused to:

cause, at least in part, a monitoring of health sensor information, fitness performance information, or a combination thereof associated with the at least one user during travel by the at least one user from the at least one user location to the at least one drop-off location, the at least one pick-up location, or a combination thereof;

cause, at least in part, a recalculation of the at least one drop-off location, the at least one pick-up location, or a combination thereof based, at least in part, on the monitoring of the health sensor information; and

cause, at least in part, a synchronization of the recalculation of the at least one drop-off location, the at least one pick-up location, or a combination thereof to the at least one vehicle.

21-46. -46. (canceled)