Apple Inc.

Rama Krishna Chitta

François M Jouaux

Ronald Keryuan Huang

Lukas Michael Marti

Michael P Dal Santo

Francois M Jouaux

Christine B McGavran

Guy Leslie Tribble

David B Luper

Christophe Hivert

Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.

Providing transit information

Georeferenced transaction data is harvested ('crowd-sourced') from client devices and sent to a network-based map service. The map service performs cluster analysis on location data points in the harvested data, resulting in one or more clusters representing local densities of transaction occurrences. Data vectors including supplemental data are obtained from one or more vendors. Location data points included in the data vectors are compared to center coordinates of the one or more clusters and the closest matching cluster/vector pair provides a mapping to POI data in a POI database. The mapped POI data is updated with the supplemental data. In some implementations, transaction timestamps in the harvested data are used to estimate the business hours of a business POI.

Updating point of interest data using georeferenced transaction data

Techniques for address point data mining are described. An address point data mining method, system, or program product can determine geographic coordinates of an address based on geographic locations of one or more user devices. Each user device can be a mobile device operable to determine a location using a global navigation system (e.g., GPS), wireless signal triangulation, or other techniques. During the course of a time period (e.g., a day or week), the user device can stay at a location for a significant amount of time. The system can crosscheck this location with a geocoded geographic coordinates of a registered address (e.g., a billing address) that is associated with the mobile device. The system can determine whether the geocoded geographic coordinates are accurate based on result of the crosscheck.

Address point data mining

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Milpitas, CA, United States of America

Rama Krishna Chitta