Dynamic determination of meet location

• US 9,927,250 B2
• Filed: 10/28/2015
• Issued: 03/27/2018
• Est. Priority Date: 10/28/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Chen, Nan, Fan, Si Bin, Liu, Ju Ling, Pan, Yi Cen, Wang, Li Na, Zhai, Juan Y.
• Primary Examiner(s): Soofi, Yazan A
• Application Number:
  US14/924,951
• Publication Number:
  US 20170122756A1
• Time in Patent Office: 881 Days
• Field of Search: 701482
• CPC Class Codes: G01C 21/3438 Rendez-vous, i.e. searching a destination where several users can meet, and the routes to this destination for these users; Ride sharing, i.e. searching a route such that at least two users can share a vehicle for at least part of the route
• 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

Abstract

Determination of a dynamic meet location for multiple individuals using current conditions. Taking into account a variety of external conditions (including traffic, travel speed, etc.), a meet location is selected and dynamically updated for multiple individuals based, at least in part, on a set of initial conditions.

Claims

1. A method comprising:

determining a first meet location for a set of members based, at least in part, on a set of input conditions;

determining a set of current geographic locations respectively corresponding to the set of members;

generating, responsive to a change in the set of geographic locations, a second meet location for the set of members based, at least in part, on a longest duration for a member in the set of members to reach the first meet location; and

displaying a set of routes, wherein;

each route in the set of routes corresponds to a member in the set of members,

a route in the set of routes starts at a current geographic location in the set of current geographic locations and terminates at the first meet location, and

the set of routes are determined based, at least in part, on a shortest mean distance time;

wherein;

the first meet location is further based, at least in part, on a set of initial geographic locations respectively corresponding to the set of members;

the set of input conditions includes;

a set of social media data,

a future destination, and

a type of meet location;

the second meet location is further based, at least in part, on;

the set of current geographic locations,

a future destination for the set of members, and

a set of predicted future rates of speed for the set of members; and

determining the set of current geographic locations respectively corresponding to the set of members is performed by computer software running on computer hardware.

2. The method of claim 1, wherein the set of routes are further determined based on a set of factors selected from a group consisting of:

a shortest amount of time;

a shortest amount of distance; and

the set of members arriving at the first meet location at one time.

3. The method of claim 1, wherein:

generating the second meet location for the set of members is performed responsive to a trigger condition.

4. The method of claim 3, wherein the trigger condition is a geographic proximity of a member in the set of members to a predefined location.

5. The method of claim 1, wherein:

generating the second meet location for the set of members is performed responsive to a predetermined time lapse after determining the first meet location.

6. The method of claim 1, wherein the second meet location is further based, at least in part, on a set of external factors selected from a group consisting of:

weather conditions;

traffic conditions;

ongoing construction; and

special events.

7. The method of claim 1, wherein the second meet location is further based, at least in part, on a set of predefined member preferences.

8. A computer program product comprising:

a computer readable storage medium having stored thereon;

first instructions executable by a device to cause the device to determine a first meet location for a set of members based, at least in part, on a set of input conditions;

second instructions executable by a device to cause the device to determine a set of current geographic locations respectively corresponding to the set of members;

third instructions executable by a device to cause the device to generate, responsive to a change in the set of geographic locations, a second meet location for the set of members based, at least in part, on a longest duration for a member in the set of members to reach the first meet location; and

fourth instructions executable by a device to cause the device to display a set of routes, wherein;

each route in the set of routes corresponds to a member in the set of members,

a route in the set of routes starts at a current geographic location in the set of current geographic locations and terminates at the first meet location, and

the set of routes are determined based, at least in part, on a shortest mean time;

wherein;

the first meet location is further based, at least in part, on a set of initial geographic locations respectively corresponding to the set of members;

the set of input conditions includes;

a set of social media data,

a future destination, and

a type of meet location; and

the second meet location is further based, at least in part, on;

the set of current geographic locations,

a future destination for the set of members, and

a set of predicted future rates of speed for the set of members.

9. The computer program product of claim 8, wherein:

fifth instructions executable by a device to cause the device to generate the second meet location for the set of members is performed responsive to a trigger condition.

10. The computer program product of claim 8, wherein:

third instructions to generate the second meet location for the set of members is performed responsive to a predetermined time lapse after determining the first meet location.

11. The computer program product of claim 8, wherein the second meet location is further based, at least in part, on a set of external factors selected from a group consisting of:

weather conditions;

traffic conditions;

ongoing construction; and

special events.

12. The computer program product of claim 8, wherein the second meet location is further based, at least in part, on a set of predefined member preferences.

13. A computer system comprising:

a processor set; and

a computer readable storage medium;

wherein;

the processor set is structured, located, connected, and/or programmed to execute instructions stored on the computer readable storage medium; and

the instructions include;

first instructions executable by a device to cause the device to determine a first meet location for a set of members based, at least in part, on a set of input conditions;

second instructions executable by a device to cause the device to determine a set of current geographic locations respectively corresponding to the set of members;

third instructions executable by a device to cause the device to generate, responsive to a change in the set of geographic locations, a second meet location for the set of members based, at least in part, on a longest duration for a member in the set of members to reach the first meet location; and

fourth instructions executable by a device to cause the device to display a set of routes, wherein;

each route in the set of routes corresponds to a member in the set of members,

a route in the set of routes starts at a current geographic location in the set of current geographic locations and terminates at the first meet location, and

the set of routes are determined based, at least in part, on a shortest mean time;

wherein;

the first meet location is further based, at least in part, on a set of initial geographic locations respectively corresponding to the set of members;

the set of input conditions includes;

 

a set of social media data,

 

a future destination, and

 

a type of meet location; and

the second meet location is further based, at least in part, on;

 

the set of current geographic locations,

 

a future destination for the set of members, and

 

a set of predicted future rates of speed for the set of members.

14. The computer system of claim 13, wherein:

fifth instructions executable by a device to cause the device to generate the second meet location for the set of members is performed responsive to a trigger condition.

15. The computer system of claim 13, wherein:

third instructions to generate the second meet location for the set of members is performed responsive to a predetermined time lapse after determining the first meet location.

16. The computer system of claim 13, wherein the second meet location is further based, at least in part, on a set of external factors selected from a group consisting of:

weather conditions;

traffic conditions;

ongoing construction; and

special events.

17. The computer system of claim 13, wherein the second meet location is further based, at least in part, on a set of predefined member preferences.