Method and apparatus for providing location sharing via simulation

• US 9,992,627 B2
• Filed: 02/08/2016
• Issued: 06/05/2018
• Est. Priority Date: 08/30/2012
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Letz, Dominic, Chambers, Paul
• Primary Examiner(s): Liu, Harry K
• Application Number:
  US15/018,368
• Publication Number:
  US 20160234648A1
• Time in Patent Office: 848 Days
• Field of Search: 342386
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G01C 21/3617 using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/202 Dispatching vehicles on the basis of a location, e.g. taxi dispatching
• CPC Class Codes: H04L 12/189 in combination with wireless systems selective distribution or broadcast in wireless communication networks H04W4/06
• CPC Class Codes: H04L 51/222 using geographical location information, e.g. messages transmitted or received in proximity of a certain spot or area
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/1095 Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/14 Session management for real-time applications in data packet communications networks H04L65/1066
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/20 Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

An approach for providing location sharing via simulation is disclosed. A location sharing platform determines at least one location point associated with at least one device and at least one algorithm for determining at least one predicted route of the at least one device based, at least in part, on the at least one location point. The location sharing platform then causes, at least in part, a transmission of the at least one location point and the at least one algorithm to at least one other device for generating location tracking information.

Claims

1. A method for automated location sharing among devices via location prediction, comprising:

determining, by an apparatus, a location of a first device and an algorithm for determining a predicted route of the first device based on the location of the first device, wherein the location of the first device is determined at least by one or more location sensors mounted on the first device;

initiating, by the apparatus, a transmission of the location of the first device and the algorithm to a second device;

in response to the transmission, initiating, by the apparatus, a transmission of a location of the second device to the first device;

processing, by the apparatus, the location of the second device using the algorithm to determine a predicted route of the second device; and

initiating, by the apparatus, a location representation of the first and second devices on user interfaces of the first and second devices based on the predicted routes of the first and second devices.

2. A method of claim 1, comprising:

processing the location of the first device and context information of the first device, of a user associated with the first device, or a combination thereof using the algorithm to determine the predicted route of the first device;

determining a deviation of a current location of the first device from the predicted route of the first device; and

initiating an update of the location representation with the current location of the first device and the deviation.

3. A method of claim 2, comprising:

determining that the deviation is caused by a stop, a detour, or a combination thereof of the first device; and

estimating a duration of the stop, the detour, or a combination thereof based on contextual information associated with the stop, the detour, or a combination thereof,

wherein the update of the location representation is further based on the duration.

4. A method of claim 1, comprising:

updating the location representation at a predetermined frequency, according to a schedule, on demand, or a combination thereof,

wherein the transmission of the location of the first device and the transmission of the location of the second device are performed via one or more peer-to-peer protocols.

5. A method of claim 2, wherein the contextual information includes one or more speed limits, a predicted speed, a type of vehicle, a mode of transport, or a combination thereof.

6. A method of claim 2, further comprising:

determining a deviation of a current location of the second device from the predicted route of the second device; and

initiating an update of the location representation with the current location of the second device and the deviation,

wherein the predicted route of the second device is determined further based on context information of the second device, of a user associated with the second device, or a combination thereof, and

wherein the contextual information includes mode of travel information, travel history information, user behavior information, traffic information, crowd-sourced information, or a combination thereof.

7. A method of claim 2, comprising:

determining the mode of travel information indicates that the first device is using a schedule-based mode of travel; and

determining one or more travel schedules for the schedule-based mode of travel as a parameter of the predicted route of the first device.

8. A method of claim 1, comprising:

determining one or more endpoints of the predicted route of the first device;

estimating an arrival time at the one or more endpoints; and

updating the location tracking information of the first device, the location of the first device, the predicted route of the first device, or a combination thereof based, at least in part, on the estimation of the arrival time,

wherein the apparatus is embedded in the first device.

9. A method of claim 2, comprising:

synchronizing a processing of the location and the predicted route of the first device with a processing of the location and the predicted route of the second device between the first device and the second device.

10. A method of claim 1, wherein the apparatus is embedded in a server that is connected to the first and second devices via one or more networks.

11. An apparatus for automated location sharing among devices via location prediction, comprising:

a processor of a first device; and

a memory including computer program code for one or more programs,

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

determine a location of the first device and an algorithm for determining a predicted route of the first device based on the location of the first device, wherein the location of the first device is determined at least by one or more location sensors mounted on the first device;

initiate a transmission of the location of the first device and the algorithm to a second device;

in response to the transmission, initiate a transmission of a location of the second device to the first device;

process the location of the second device using the algorithm to determine a predicted route of the second device; and

initiate a location representation of the first and second devices on user interfaces of the first and second devices based on the predicted routes of the first and second devices.

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

process the location of the first device and context information of the first device, of a user associated with the first device, or a combination thereof using the algorithm to determine the predicted route of the first device;

determine a deviation of a current location of the first device from the predicted route of the first device; and

initiate an update of the location representation with the current location of the first device and the deviation.

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

determine that the deviation is caused by a stop, a detour, or a combination thereof of the first device; and

initiate an estimation of a duration of the stop, the detour, or a combination thereof based on contextual information associated with the stop, the detour, or a combination thereof,

wherein the update of the location representation is further based on the duration.

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

update the location representation at a predetermined frequency, according to a schedule, on demand, or a combination thereof,

wherein the transmission of the location of the first device and the transmission of the location of the second device are performed via one or more peer-to-peer protocols.

15. An apparatus of claim 12, wherein the contextual information includes one or more speed limits, a predicted speed, a type of vehicle, a mode of transport, or a combination thereof.

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

determine a deviation of a current location of the second device from the predicted route of the second device; and

initiate an update of the location representation with the current location of the second device and the deviation,

wherein the predicted route of the second device is determined further based on context information of the second device, of a user associated with the second device, or a combination thereof, and

wherein the contextual information includes mode of travel information, travel history information, user behavior information, traffic information, crowd-sourced information, or a combination thereof.

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

determine that the mode of travel information indicates that the first device is using a schedule-based mode of travel; and

determine one or more travel schedules for the schedule-based mode of travel as a parameter of the predicted route of the first device.

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

determine one or more endpoints of the predicted route;

estimate an arrival time at the one or more endpoints; and

update the location tracking information of the first device, the location of the first device, the predicted route of the first device, or a combination thereof based, at least in part, on the estimation of the arrival time,

wherein the apparatus is embedded in the first device.

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

synchronize a processing of the location and the predicted route of the first device with a processing of the location and the predicted route of the second device between the first device and the second device.

20. An apparatus of claim 11, wherein the apparatus is embedded in a server that is connected to the first and second devices via one or more networks.