Default map zoom level by travel time

Patent metadata

Field	Value
Publication number	US-11467000-B2
Application number	US-201816606612-A
Country	US
Kind code	B2
Filing date	Dec 26, 2018
Priority date	Dec 26, 2018
Publication date	Oct 11, 2022
Grant date	Oct 11, 2022

Abstract

Systems and methods are provided for generating a mapping application that displays an initial map with a zoom level that is based on a travel time associated with the location of the user. The mapping application receives a request to present a digital map from a client device. Based on the current geographic location of the client device, the mapping application estimates a distance in which a user of the client device can travel within a particular time period. The mapping application then selects a parameter for a viewport of the digital map based at least on the estimated distance. For example, the viewport parameter may be a zoom level. The mapping application then generates the digital map in accordance with the selected parameter, and displays the digital map via a user interface of the client device.

First claim

What is claimed is:

1. A non-transitory computer-readable medium storing thereon instructions that, when executed by one or more processors, cause the one or more processors to:
receive a request to present a digital map from a client device;
estimate, based on a current geographic location of the client device, a distance in which a user of the client device can travel within a particular time period;
select a parameter for a viewport of the digital map based at least on the estimated distance;
generate the digital map in accordance with the selected parameter; and
display the digital map via a user interface of the client device, wherein the digital map is displayed via the user interface of the client device prior to the receipt, by the client device, of any user input indicating a destination location.

2. The computer-readable medium of claim 1 , wherein the distance is estimated based on one or more of: traffic conditions associated with the geographic location, weather conditions associated with the geographic location, speed limits associated with the geographic location, a mode of transport associated with the geographic location, and/or a mode of transport associated with the user of the client device.

3. The computer-readable medium of claim 1 , wherein the particular time period is selected based on previous trips associated with the user of the client device.

4. The computer-readable medium of claim 1 , wherein the particular time period is learned by generating a machine learning model using user interactions associated with previously presented digital maps or previously selected points of interest (POIs) as training data.

5. The computer-readable medium of claim 1 , wherein the viewport includes a geographic area surrounding the current geographic location of the client device.

6. The computer-readable medium of claim 1 , wherein to estimate a distance in which a user of the client device can travel within a particular time period, the instructions cause the one or more processors to:
estimate, based on the current geographic location of the client device, a plurality of distances in different directions from the current geographic location in which the user can travel within the particular time period; and
combine the plurality of distances to generate an estimated distance.

7. The computer-readable medium of claim 1 , wherein the distance in which the user of the client device can travel within the particular time period is based on the current geographic location of the client device and a particular mode of transport.

8. The computer-readable medium of claim 1 , wherein the viewport parameter is a zoom level.

9. The computer-readable medium of claim 8 , wherein the zoom level is selected such that a zoom radius around the current geographic location of the client device is equal to the estimated distance.

10. A method for generating digital maps, the method comprising:
receiving, by one or more processors, a request to present a digital map, from a client device;
estimating, by the one or more processors, based on a current geographic location of the client device, a distance in which a user of the client device can travel within a particular time period;
selecting, by the one or more processors, a parameter for a viewport of the digital map based at least on the estimated distance;
generating, by the one or more processors, the digital map in accordance with the selected parameter; and
displaying, by the one or more processors, the digital map via a user interface of the client device, wherein the digital map is displayed via the user interface of the client device prior to the receipt, by the client device, of any user input indicating a destination location.

11. The method of claim 10 , wherein estimating the distance based on the current geographic location of the client device includes:
estimating, by the one or more processors, the distance based on one or more of: traffic conditions associated with the geographic location, weather conditions associated with the geographic location, speed limits associated with the geographic location, a mode of transport associated with the geographic location, and/or a mode of transport associated with the user of the client device.

12. The method of claim 10 , further comprising:
selecting, by the one or more processors, the particular time period based on previous trips associated with the user of the client device.

13. The method of claim 10 , further comprising:
learning, by the one or more processors, the particular time period by generating a machine learning model using user interactions associated with previously presented digital maps or previously selected points of interest (POIs) as training data.

14. The method of claim 10 , wherein the viewport includes a geographic area surrounding the current geographic location of the client device.

15. The method of claim 10 , wherein estimating a distance in which a user of the client device can travel within a particular time period includes:
estimating, by the one or more processors, based on the current geographic location of the client device, a plurality of distances in different directions from the current geographic location in which the user can travel within the particular time period; and
combining, by the one or more processors, the plurality of distances to generate an estimated distance.

16. The method of claim 10 , wherein estimating the distance in which a user of the client device can travel within a particular time period is based on both the current geographical location of the client device and a particular mode of transport.

17. The method of claim 10 , wherein the viewport parameter is a zoom level.

18. The method of claim 17 , further comprising:
selecting, by the one or more processors, the zoom level such that a zoom radius around the current geographic location of the client device is equal to the estimated distance.

19. A computer system comprising one or more processors configured to:
receive a request to present a digital map from a client device;
estimate, based on a current geographic location of the client device, a distance in which a user of the client device can travel within a particular time period;
select a parameter for a viewport of the digital map based at least on the estimated distance;
generate the digital map in accordance with the selected parameter; and
display the digital map via a user interface of the client device, wherein the digital map is displayed via the user interface of the client device prior to the receipt, by the client device, of any user input indicating a destination location.

Assignees

• Google Llc

Inventors

• Grigera Alejo
• Galleher Ryan

Classifications

• G01C21/3676

  Overview of the route on the road map · CPC title

• G06N20/00

  Machine learning · CPC title

• G01C21/367 Primary

  Details, e.g. road map scale, orientation, zooming, illumination, level of detail, scrolling of road map or positioning of current position marker · CPC title

• G01C21/3476

  using point of interest [POI] information, e.g. a route passing visible POIs · CPC title

• G01C21/3423

  Multimodal routing · CPC title