Providing light navigation guidance

Abstract

In some implementations, a computing device can proactively determine a destination and request traffic information for routes from a starting location to the destination. In some implementations, a computing device can identify some routes between a starting location and a destination as non-recommended routes and recommend other routes. In some implementations, a computing device can rank routesbetween a starting location and a destination based on automatically-determined user interest. In some implementations, a computing device can determine a user is familiar with a route and adjust theinformation presented to the user about the route accordingly.

Description

technical field [0001] The present disclosure generally relates to obtaining and displaying map and routing data on a device. Background technique [0002] Mobile devices such as smartphones, tablets, smart watches, and other computing devices often include applications that provide interfaces that allow users to utilize services from network service providers. Examples of such applications and / or services are map and / or navigation applications and / or services (eg, Apple Maps). For example, when a user uses a map application on a mobile device, the map application may use a network connection (e.g., an Internet connection) to obtain map data (e.g., map images, navigation data, estimated travel time, etc.) from a map service over the network connection. , ETA, traffic conditions, etc.). The map application can then provide various map-related services to the user using the map data received from the map service. For example, a mapping application can notify users when ther...

AI Technical Summary

Problems solved by technology

However, users who are familiar with routes may not always check the map application before setting out on a trip, and the map application may not always plan the route for the user around traffic events in a way that suits the user's specific needs

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