METHOD AND APPARATUS FOR PREDICTING A TRAVEL TIME AND DESTINATION BEFORE TRAVELING

• US 20130103300A1
• Filed: 10/25/2011
• Published: 04/25/2013
• Est. Priority Date: 10/25/2011
• Status: Abandoned Application

• Current Assignee: HERE Global B.V. (HERE Holding Corporation)
• Original Assignee: Nokia Corporation
• Inventors: Letz, Dominic, Li, Dong, Rakthanmanon, Thanawin
• Application Number:
  US13/280,867
• Publication Number:
  US 20130103300A1
• Time in Patent Office: Days
• US Class Current: 701/408
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G01C 21/3641 Personalized guidance, e.g. limited guidance on previously travelled routes

Abstract

An approach is provided for providing driving assistant services to a user before, during, and after the user starts traveling. Specifically, a personal travel pattern associated with a device, the user of a device, or a combination thereof is processed to determine at least one prediction of a time that the device, the user, or a combination thereof will travel to at least one or more travel paths, one or more places of interest, or a combination thereof. The travel information associated with the at least one of the one or more travel paths, the one or more places of interest, or a combination thereof is presented to the user prior to the time predicted. The travel information is also processed to cause, at least in part, a generation of a recommendation of at least one alternate travel path, at least one alternate place of interest, or a combination thereof.

Claims

1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following:

a processing of a personal travel pattern associated with a device, a user of the device, or a combination thereof to determine one or more travel paths, one or more places of interest, or a combination thereof;

a processing of the personal travel pattern to determine at least one prediction of a time that the device, the user, or a combination thereof will travel to at least one of the one or more travel paths, the one or more places of interest, or a combination thereof; and

a presentation of travel information associated with the at least one of the one or more travel paths, the one or more places of interest, or a combination thereof prior to the time.

2. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination to construct a travel graph comprising the one or more travel paths, the one or more places of interest, one or more travel associated travel times, associated contextual information, or a combination thereof,

wherein the at least one prediction is based, at least in part, on the travel graph.

3. A method of claim 2, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of the personal travel pattern to determine one or more relationships among the one or more travel paths, the one or more places of interest, or a combination thereof,

wherein the travel graph is based, at least in part, on the one or more relationships.

4. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a processing of travel information to cause, at least in part, a generation of a recommendation of at least one alternate travel path, at least one alternate place of interest, or a combination thereof.

5. A method of claim 4, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a monitoring of location information associated with the device while traveling to the one or more travel paths, the one or more places of interest, or a combination thereof;

at least one determination of one or more travel decision points based, at least in part, on the location information; and

the generation, a presentation, or a combination thereof of the recommendation when the location information indicates that the device is within a proximity of the one or more travel decision points.

6. A method of claim 4, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

an update of the at least one prediction, the travel information, the recommendation, or a combination there periodically, according to a schedule, on demand, or a combination thereof for a predetermined period prior to, during, or after a commencement of travel.

7. A method of claim 6, wherein the at least one prediction is based, at least in part, on a score calculation for the one or more travel paths, the one or more places of interest, or a combination thereof, and wherein the score calculation is a likelihood score when using a probabilistic prediction model and a counting score when using a non-probabilistic prediction model.

8. A method of claim 4, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a presentation of an amount of travel time saved by the at least one alternate travel path, the at least one alternate place of interest, or a combination thereof.

9. A method of claim 1, wherein the personal travel pattern is further associated with a group of one or more other devices, one or more other users of the one or more other devices, or a combination thereof.

10. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

at least one determination of feedback information associated with the at least one of the one or more travel paths, the one or more places of interest, or a combination thereof prior to the time,

wherein the feedback information includes, at least in part, a time-saving score, an eco-friendliness score, a safety score, or a combination thereof.

11. 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,

process and/or facilitate a processing of a personal travel pattern associated with a device, a user of the device, or a combination thereof to determine one or more travel paths, one or more places of interest, or a combination thereof;

process and/or facilitate a processing of the personal travel pattern to determine at least one prediction of a time that the device, the user, or a combination thereof will travel to at least one of the one or more travel paths, the one or more places of interest, or a combination thereof; and

cause, at least in part, a presentation of travel information associated with the at least one of the one or more travel paths, the one or more places of interest, or a combination thereof prior to the time.

12. An apparatus of claim 11, wherein the apparatus is further caused to:

determine to construct a travel graph comprising the one or more travel paths, the one or more places of interest, one or more travel associated travel times, associated contextual information, or a combination thereof,

wherein the at least one prediction is based, at least in part, on the travel graph.

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

process and/or facilitate a processing of the personal travel pattern to determine one or more relationships among the one or more travel paths, the one or more places of interest, or a combination thereof,

wherein the travel graph is based, at least in part, on the one or more relationships.

14. An apparatus of claim 11, wherein the apparatus is further caused to:

process and/or facilitate a processing of travel information to cause, at least in part, a generation of a recommendation of at least one alternate travel path, at least one alternate place of interest, or a combination thereof.

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

cause, at least in part, a monitoring of location information associated with the device while traveling to the one or more travel paths, the one or more places of interest, or a combination thereof;

determine one or more travel decision points based, at least in part, on the location information; and

cause, at least in part, the generation, a presentation, or a combination thereof of the recommendation when the location information indicates that the device is within a proximity of the one or more travel decision points.

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

cause, at least in part, an update of the at least one prediction, the travel information, the recommendation, or a combination there periodically, according to a schedule, on demand, or a combination thereof for a predetermined period prior to, during, or after a commencement of travel.

17. An apparatus of claim 16, wherein the at least one prediction is based, at least in part, on a score calculation for the one or more travel paths, the one or more places of interest, or a combination thereof, and wherein the score calculation is a likelihood score when using a probabilistic prediction model and a counting score when using a non-probabilistic prediction model.

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

cause, at least in part, a presentation of an amount of travel time saved by the at least one alternate travel path, the at least one alternate place of interest, or a combination thereof.

19. An apparatus of claim 11, wherein the personal travel pattern is further associated with a group of one or more other devices, one or more other users of the one or more other devices, or a combination thereof.

20. An apparatus of claim 11, wherein the apparatus is further caused to:

determine feedback information associated with the at least one of the one or more travel paths, the one or more places of interest, or a combination thereof prior to the time,

wherein the feedback information includes, at least in part, a time-saving score, an eco-friendliness score, a safety score, or a combination thereof.

21-48. -48. (canceled)