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Browse Prior Art Database

Finding Optimized Route for a User Based on Tips/Hints from Other Users

IP.com Disclosure Number: IPCOM000245456D
Publication Date: 2016-Mar-10
Document File: 2 page(s) / 46K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a feature for a navigation system that leverages crowd sourcing and a geofence area to generate steps, hints, or tips for a lost user, when the first set of directions from a Global Position System lead to the incorrect location, to help the user reach the destination.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

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Finding Optimized Route for a User Based on Tips/Hints from Other Users

A global positioning system (GPS) can sometimes misdirect the user, for many reasons (e.g., incorrect or outdated maps, incorrect address given, more than one road with the same name, etc.). When a user arrives at a location other than intended, it can be not only a waste of time and fuel, but also distressing and possibly dangerous. Currently, to get back in the correct direction, the user might have to stop the car and ask a passer-by where place x is.

The proposed solution uses crowd sourcing from other users within a certain geographic perimeter (i.e., geofence) from the user to direct the user to the location

with the highest verification based on the consensus of other drivers. It also has the ability to choose the best result based on drivers' ratings and relationship to the user's social network. Assistance can be invoked either by the user asking for clarity or by a

smart navigation system that requests help from nearby persons.

The novel system leverages crowd sourcing and a geofence area to generate steps, hints, or tips, for the lost user to help the user reach the destination. A reward/rating feature encourages users to share/help other users. In addition, the system leverages the credibility of people within the geofence and the relationships to the user's social network. This helps the user determine which crowd sourcing feedback might be better to use.

In an example embodiment, the user is lost, at the incorrect location, or the GPS is not confident of the correct location. The system is initialized, and then:

1. User initiates system 2. System ascertains that it is not confident of the correct location; GPS contains a confidence score and the score is below a certain threshold. GPS confidence score can be based on (but not limited to):

A. Historical data collection and feedback from other users saying the GPS

was wrong, or

B. The number of GPS users that had to go to another location immediately after reaching the current location (e.g., two streets are frequently confused)

C. The number of GPS users that reach out to others for help from this location, etc.

3. Navigation system surfaces the help reques...