A dataset descriptive of multiple locations and one or more maneuvers attempted by vehicles at these locations is received. A machine-learning model is trained using this dataset, so that the machine-learning model is configured to generate metrics of difficulty for the set of maneuvers. A query data including indications of a location and a maneuver to be executed by a vehicle at the location is received. The query data is applied to the machine-learning model to generate a metric of difficulty for the maneuver, and a navigation instruction for the maneuver is provided via a user interface, such that at least one parameter of the navigation instruction is selected based on the generated metric of difficulty.

Systems and methods are directed using a machine learning model to determine content to display on a map. The system detects an event associated with a transportation service being requested via an application on a user device of a user. The system accesses real-time data (e.g., sensor data indicating location of the user device) and historical data associated with the user. The system also determines connectivity for a location of the client device. The connectivity can include one or more of a load time for an area that the user device is located, battery life of the user device, or network strength of a connection. Next, the system analyzes the accessed data and the connectivity to identify display elements to present on the client device based on the event. The system then causes presentation of the display elements on the client device.

An information processing system includes a vehicle and an information processor that acquires information acquired by the vehicle from the vehicle. The vehicle acquires location information of the vehicle, acquires driving information of a driver of the vehicle, and provides route guidance on the basis of route guidance information that is generated in the information processor. The information processor stores traffic accident information, in which driving skill of a driver involved in a traffic accident occurred in the past and the number of the traffic accident at a point where the traffic accident has occurred are associated with location information of the point where the traffic accident has occurred, calculates the driving skill of the driver on the basis of the driving information, and generates the route guidance information on the basis of the calculated driving skill and the traffic accident information.

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 routes between 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 the information presented to the user about the route accordingly.

An approach is provided for providing a personally relevant navigation route comparison. The approach involves, for example, determining, by a processor, an optimal navigation route. The approach also involves determining a historical navigation route based on a similarity between the historical navigation route and the optimal navigation route. The approach further involves providing data for presenting one or more of the similarity or a difference between the optimal navigation route and the historical navigation route.

A system is provided for hands-free handling of at least one asset by a user. The system includes a user device configured to be worn by a user and a control system remotely located relative to the user device and configured to exchange asset-related data with the user device, the asset-related data including at least one or more notifications related to the handling of the at least one asset by the user at the asset location. The user device contains a processor configured to determine location data associated with the at least one asset and including a location for the at least one asset, the determination being based, in part, upon the obtained asset identifier data; dynamically generate and display, at the user device, one or more navigational projections configured to guide the user to the asset location; and detect handling of the at least one asset by the user.

A racing coach device stores an optimal path of travel along a racetrack, the optimal path of travel formed of a plurality of segments and associated with a plurality of driving maneuvers. A location determining component configured to receive a location signal and determine a current geolocation of the racing coach device using the location signal. The racing coach device determines, based on the current geolocation of an automobile, a next driving maneuver along the plurality of driving maneuvers and a geolocation associated with the next driving maneuver. The device controls a speaker to provide audible driving instructions based on the determined next driving maneuver along the optimal path of travel before the racing coach device arrives at the geolocation associated with the next driving maneuver.

Aspects of the present disclosure include a navigation system and computer-implemented methods for proactively re-routing vehicles based on an analysis of input component data obtained from the navigation-enabled devices. The navigation system scores the input component data to obtain a measure of frustration (e.g., a feeling of being upset or annoyed) of the user of the navigation-enabled device. The navigation system may provide a detour suggestion for display on the navigation-enabled device to persuade the user of the device to direct their vehicle to depart from its current location or route in an effort to remove the vehicle from traffic, and thereby reduce the frustration level of the user. The detour suggestion may include an alternative route to the original destination, or an alternative destination.

A vehicle routing device that determines a route from an origin to a destination including route guidance. The route guidance is modified based on user input. The modification can supply increased or reduced route guidance at intervals along the route. Route guidance may be modified to incorporate landmarks and personal contacts.

In some implementations, a computing device can provide a map application providing a representation of a physical structure of venues (e.g., shopping centers, airports) identified by the application. In addition, the application can provide an inside view that includes the physical layout and geometry of the venue's structure as well as the location, structure and layout of points of interest (e.g., stores, security check points, restrooms) within the venue. The views become more detailed as the user zooms into the venue to reveal points of interest and to give the user a feel for traversing the venue.