System for pattern recognition in real-time location-based services applications

A method of estimating the current location of a mobile device, comprising:

• acquiring, by a mobile device, a set of historical location parameters associated with the mobile device, wherein at least one location parameter in the set of historical location parameters includes data indicative of a prior latitude and longitude of the mobile device acquired by a geographic positioning unit of the mobile device;
• providing, by the mobile device, the set of historical location parameters to at least one server;
• storing the set of historical location parameters at the at least one server
• receiving, by the mobile device, at least one trip model from the server, wherein the trip model is determined based at least in part on a neural network using the set of historical location parameters;
• obtaining, by the mobile device, at least one last known location parameter for the mobile device;
• estimating, by the mobile device, the current location of the mobile device using the at least one last known location parameter for the mobile device and the at least one trip model.