Determining Locations Based on Dynamic Environmental Characteristics and User Data

• US 20200137523A1
• Filed: 07/26/2019
• Published: 04/30/2020
• Est. Priority Date: 10/31/2018
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Breedvelt-Schouten, Ilse, Jenkins, Jana H., Kusnitz, Jeffrey A., Lyons, John A.
• Granted Patent: US 10,785,603 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/024 Guidance services
• CPC Class Codes: H04W 4/025 using location based information parameters
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Mechanisms are provided to implement a location identification mechanism to identify a location or route for a user. A starting location of the user is identified in response to receiving a set of details from the user including at least a target location. A three-dimensional model of an area around the starting location, an area around the target location, and an area between the starting location and the target location is generated and current local weather and forecasted local weather associated with the starting location, the target location, and the area between the starting location and the target location is identified. Anticipated wind flow and temperatures within the generated three-dimensional model are simulated to identify a route from the starting location to the target location that meets a set of personal preferences of the user. The identified route is then presented on a user-selected navigation application.

Claims

1. A method, in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions that are executed by the at least one processor to cause the at least one processor to be configured to implement a location identification mechanism to identify a location or route for a user, the method comprising

responsive to receiving a set of details from the user including at least a target location, identifying, by a location identification engine of the location identification mechanism, a starting location of the user;

generating, by a three-dimensional model generator of the location identification mechanism, a three-dimensional model of an area around the starting location, an area around the target location, and an area between the starting location and the target location;

identifying, by a weather identification engine of the location identification mechanism, current local weather and forecasted local weather associated with the starting location, the target location, and the area between the starting location and the target location;

simulating, by a simulation engine of the location identification mechanism, anticipated wind flow and temperatures within the generated three-dimensional model;

identifying, by a location/route identification engine of the location identification mechanism, a route from the starting location to the target location based on the current local weather and the forecasted local weather associated with the starting location, the target location, and the area between the starting location and the target location, the anticipated wind flow and the temperatures within the generated three-dimensional model, and a set of personal preferences of the user; and

presenting, by a mapping overlay engine of the location identification mechanism, the identified route on a user-selected navigation application associated with the data processing system.

2. The method of claim 1, further comprising:

monitoring, by the location identification mechanism, the user'"'"'s movements from the starting location to the target location; and

responsive to the'"'"'user deviating from the identified route, generating, by the location identification mechanism, a new mute from a current location to the target location based on the current local weather and the forecasted local weather associated with the starting location, the target location, and the area between the starting location, the target location, the anticipated wind flow and the temperatures within the generated three-dimensional model, and the set of personal preferences of the user.

3. The method of claim 1, further comprising:

monitoring, by the location identification mechanism monitors, the user'"'"'s movements from the starting location to the target location;

responsive to the user deviating from the identified route, identifying, by a feedback engine of the location identification mechanism, current conditions associated with the selected route; and

utilizing, by the feedback engine, the identified conditions as personal preferences in future simulations.

4. The method of claim 1, wherein the set of details further includes an identification of an activity the user will be using to move from the starting location to the target location.

5. The method of claim 1, wherein the set of details includes an identification of an activity the user will be performing once the target location is reached,

6. The method of claim 1, wherein the three-dimensional model includes one or more from the group consisting of buildings, commercial structures, apartments, parking lots, parks, sidewalks, streets, and trees.

7. The method of claim 1, wherein the simulation identifies one or more micro climate features and wherein the microclimate features comprises one or more from the group consisting of wind tunnels, downdraught effects, wind velocities, temperature effects, temperatures, shaded areas, and sunny areas.

8-20. -20. (canceled)