A mobile computing implemented platform is provided that enables the generation, and delivery of highly relevant content to the mobile device of a driver. The content is filtered based on the current location and direction of the driver, and content is generated and filtered based a crowd sourced model where a plurality of users who are driving within a similar locations are linked to one another via the platform for improved discovery of traffic conditions, and improved determination of user interest based on collective interest of the plurality of users. Various intelligent features are enabled by the platform.

Systems and methods for delivering high relevant travel related content to mobile devices

Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

Warning for frequently traveled trips based on traffic

Some embodiments provide a method for an application executing on a mobile device. The method renders an animated navigation presentation for output to an external display screen not part of the mobile device. The navigation presentation includes an animated map showing at least a portion of a route to a destination. The method simultaneously displays information regarding a maneuver along the route on a display screen of the mobile device without displaying a same animated map on the mobile device. In some embodiments, the displayed information regarding the maneuver comprises a graphical instruction and a text instruction for a next maneuver along the route.

Mapping application with turn-by-turn navigation mode for output to vehicle display

A device receives, from a user device, a user-defined starting point associated with a path to be navigated by a user associated with the user device, a user-defined destination point associated with the path, and one or more user-defined intermediate points provided between the user-defined starting point and the user-defined destination point. The device also creates a user-defined path based on the user-defined starting point, the user-defined destination point, and the one or more user-defined intermediate points, and provides the user-defined path to the user device.

Navigation based on user-defined points and paths

Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. The device's prediction engine only relies on user-specific data stored on the device in some embodiments, relies only on user-specific data stored outside of the device by external devices/servers in other embodiments, and relies on user-specific data stored both by the device and by other devices/servers in other embodiments.

Mobile device with predictive routing engine

A GPS navigation code device has GPS features and easy address retrieval means built in, enabling a driver to retrieve and request directions to an address without taking his eyes off the road. The user pre-programs the GPS navigation code device with a plurality of addressees or points of interest and assigns unique navigation codes for each. The navigation code is entered using keyboard or recorded speech pattern. The processor in the GPS navigation code device records address, navigation code and speech pattern in three linked databases. While driving, the user presses a special address search mode key and inputs the unique navigation code by keyboard or speech pattern. The GPS navigation code device displays the address and the user accepts the displayed address by pressing special key. The GPS navigation code device then calculates and displays directions to the address, and provides additional guidance by speech on a turn-by-turn basis.

Gary Severson

Papers

GPS navigation code system