Abstract: Methods, computer-readable media, software, and system may generally build and quantify mobility patterns based on user location data, both at an individual level and an aggregate level. The system may determine the origin and destination data for each trip taken by a user. The system may then define areas of mobility using a mobility graph built from the data. The graph may include nodes and edges. In some examples, the nodes are constructed from the origins and destinations of the trajectories using spatial clustering techniques. Further, the edges between nodes may be constructed based on the trips between them, such as two nodes are connected by an edge if there is at least one trip between them. The edges may be given different weights based on trip frequencies. The system may then determine a region of mobility using the generated mobility graph and data clustering techniques.

Abstract: Methods, computer-readable media, software, and system may generally identify, determine, and understand the significance of commute location data using telematics data. The system and methods may identify significant commute location data and points by analyzing telematics data and capturing GPS locations associated with the mobility of a user. The commute location data may be classified as data points including origin, destination, and waypoints. This commute location data may be used with metadata to identify significant locations associated with the user. The commute location data may also be used with metadata to understand mobility behavior of the user. Lastly, the commute location data may be used with metadata to determine risk associated with the user, such as based on a risk map.

Abstract: Methods, computer-readable media, software, and system may generally build and quantify mobility patterns based on user location data, both at an individual level and an aggregate level. The system may determine the origin and destination data for each trip taken by a user. The system may then define areas of mobility using a mobility graph built from the data. The graph may include nodes and edges. In some examples, the nodes are constructed from the origins and destinations of the trajectories using spatial clustering techniques. Further, the edges between nodes may be constructed based on the trips between them, such as two nodes are connected by an edge if there is at least one trip between them. The edges may be given different weights based on trip frequencies. The system may then determine a region of mobility using the generated mobility graph and data clustering techniques.

Abstract: Methods, computer-readable media, software, and system may generally identify, determine, and understand the significance of commute location data using telematics data. The system and methods may identify significant commute location data and points by analyzing telematics data and capturing GPS locations associated with the mobility of a user. The commute location data may be classified as data points including origin, destination, and waypoints. This commute location data may be used with metadata to identify significant locations associated with the user. The commute location data may also be used with metadata to understand mobility behavior of the user. Lastly, the commute location data may be used with metadata to determine risk associated with the user, such as based on a risk map.

Abstract: Methods, computer-readable media, software, and system may generally identify, determine, and understand the significance of commute location data using telematics data. The system and methods may identify significant commute location data and points by analyzing telematics data and capturing GPS locations associated with the mobility of a user. The commute location data may be classified as data points including origin, destination, and waypoints. This commute location data may be used with metadata to identify significant locations associated with the user. The commute location data may also be used with metadata to understand mobility behavior of the user. Lastly, the commute location data may be used with metadata to determine risk associated with the user, such as based on a risk map.

Abstract: Methods, computer-readable media, software, and system may generally build and quantify mobility patterns based on user location data, both at an individual level and an aggregate level. The system may determine the origin and destination data for each trip taken by a user. The system may then define areas of mobility using a mobility graph built from the data. The graph may include nodes and edges. In some examples, the nodes are constructed from the origins and destinations of the trajectories using spatial clustering techniques. Further, the edges between nodes may be constructed based on the trips between them, such as two nodes are connected by an edge if there is at least one trip between them. The edges may be given different weights based on trip frequencies. The system may then determine a region of mobility using the generated mobility graph and data clustering techniques.

Abstract: A navigation system comprises a processor, a geographic database and a guidance application executable on the processor. The guidance application obtains data from the geographic database and obtains a photographic image. The guidance application overlays an advertisement route highlight on said photographic image. The advertisement route highlight graphically illustrates a path corresponding to a route and a direction of travel for the route. The advertisement route highlight includes a series of advertisement decals.

Abstract: In one embodiment, the position of a mobile device is determined based, at least on part, of the relative locations of two or more nearby points. Distance data, received from a range finding sensor, corresponds to distances to the two or more nearby points from the mobile device. A predetermined model that includes previously recorded locations for objects is accessed to receive location data for two or more nearby points. A position of the mobile device is calculated based on the location data and the distance data. The nearby points may be building edges or building corners. The calculation may involve a series of equations. The series of equations may include satellite-based positioning equations in addition to equations based on the predetermined model.

Abstract: The present disclosure provides a system for delivering contextually relevant streaming media content embodied in a mobile device, wherein the media stream includes one or more media content segments content selected from a plurality of media content segments content based on the current location of the mobile device and received listener preferences.

Abstract: An approach is provided to process imaging data associated with location trace data of one or more links of a road. A processing platform may process and/or facilitate a processing of imaging data associated with location trace data of at least one link of a road to determine maneuvering information for at least one vehicle collecting the imaging data, the location trace data, or a combination thereof. Further, the processing platform may determine whether to cause, at least in part, an adjusting of at least a portion of the location trace data based, at least in part, on the maneuvering information.

Abstract: The present disclosure provides a system for delivering contextually relevant streaming media content embodied in a mobile device, wherein the media stream includes one or more media content segments content selected from a plurality of media content segments content based on listener preferences. The system is configured to integrate media, such as music, from a listener's mobile device seamlessly into the customized media stream. In addition, the listener may rewind the customized streaming media to any time point within the customized streaming media.

Abstract: The present disclosure provides a system for delivering contextually relevant streaming media content embodied in a mobile device, wherein the media stream includes one or more media content segments content selected from a plurality of media content segments content based on the current location of the mobile device and received listener preferences.

Abstract: The present disclosure provides a system for delivering contextually relevant streaming media content embodied in a mobile device, wherein the media stream includes one or more media content segments content selected from a plurality of media content segments content based on the current location of the mobile device.

Abstract: Systems, devices, features, and methods for determining a geometric parameter from an image are disclosed. For example, one method for determining the geometric parameter is used to develop a navigation database. The method comprises determining calibration values corresponding to a camera mounted on a vehicle or a pedestrian. A plurality of images of geographic features are captured by the camera. A single image from the plurality of images is identified or selected. A geometric parameter of a region in the single image is determined based on the determined calibration values. For example, the geometric parameter is a real-world distance, such as a real-world length or width.

Abstract: Systems, devices, features, and methods for determining geographic position information from an image are disclosed. For example, one method for determining the geographic position information is used to develop a navigation database. The method comprises capturing a plurality of images of geographic features by a camera mounted on a vehicle or a pedestrian. A single image from the plurality of images is identified or selected. A real-world ground distance between a reference ground point in the single image and a ground point corresponding to an object in the single image is determined based on determined calibration values corresponding to the camera. Real-world geographic position information, such as a latitude coordinate and a longitude coordinate, of the ground point corresponding to the object in the single image is determined based on the determined real-world ground distance.

Abstract: A navigation system comprises a processor, a geographic database and a guidance application executable on the processor. The guidance application obtains data from the geographic database and obtains a photographic image. The guidance application overlays an advertisement route highlight on said photographic image. The advertisement route highlight graphically illustrates a path corresponding to a route and a direction of travel for the route. The advertisement route highlight includes a series of advertisement decals.

Abstract: An approach is provided to process imaging data associated with location trace data of one or more links of a road. A processing platform may process and/or facilitate a processing of imaging data associated with location trace data of at least one link of a road to determine maneuvering information for at least one vehicle collecting the imaging data, the location trace data, or a combination thereof. Further, the processing platform may determine whether to cause, at least in part, an adjusting of at least a portion of the location trace data based, at least in part, on the maneuvering information.

Abstract: In one embodiment, the position of a mobile device is determined based, at least on part, of the relative locations of two or more nearby points. Distance data, received from a range finding sensor, corresponds to distances to the two or more nearby points from the mobile device. A predetermined model that includes previously recorded locations for objects is accessed to receive location data for two or more nearby points. A position of the mobile device is calculated based on the location data and the distance data. The nearby points may be building edges or building corners. The calculation may involve a series of equations. The series of equations may include satellite-based positioning equations in addition to equations based on the predetermined model.

Abstract: A navigation system comprises a processor, a geographic database and a guidance application executable on the processor. The guidance application obtains data from the geographic database and obtains a photographic image. The guidance application overlays an advertisement route highlight on said photographic image. The advertisement route highlight graphically illustrates a path corresponding to a route and a direction of travel for the route. The advertisement route highlight includes a series of advertisement decals.

Abstract: A navigation system comprises a processor, a geographic database and a guidance application executable on the processor. The guidance application obtains data from the geographic database and obtains a photographic image. The guidance application overlays an advertisement route highlight on said photographic image. The advertisement route highlight graphically illustrates a path corresponding to a route and a direction of travel for the route. The advertisement route highlight includes a series of advertisement decals.