A method and a management entity are disclosed for determination of geofence. According to an embodiment, the management entity receives, from an event reporter, a report indicating that an event related to a geofence has occurred at a location. The management entity determines, from a geographic information database, one or more spatial elements related to a spatial range of the geofence, with the reported location of the event. The management entity determines, from the one or more spatial elements, the spatial range of the geofence. At least one of determining the one or more spatial elements and determining the spatial range of the geofence is based on one or more event rules predetermined for the event according to characteristic of the event.

Methods, systems, and computer program product for prefetching location data based on predicted user behavior. A mobile device can request, from a user routine subsystem of the mobile device, a list of locations that a user of the mobile device routinely visits while the user carries the mobile device. The mobile device can determine a cluster of these locations that are within a specified distance between one another. The mobile device can request location data for these locations from a location server, even if the user is not at one of these locations. The location data can include a venue map and a venue location fingerprint. Upon detecting that the user entered a venue at one of these locations, the mobile device can determine a location of the user inside of the venue using the venue location fingerprint. The mobile device can then display the location on a venue map.

The present disclosure is directed toward systems and method for generating geo-fences having boundaries around geographic regions of interest based on historical activity data of a user application on a plurality of client devices. For example, systems and methods described herein involve tracking activity data to identify instances of an application activity associated with an action to promote and identify locations where users more frequently perform the application activity. In addition, systems and methods described herein involve tracking activity data over time to determine geographic regions of interest at different time periods where users more frequently perform application activities. Further, systems and methods described herein involve generating geo-fences around one or more geographic regions of interest.

Disclosed are techniques for improving an advanced driver-assistance system (ADAS) using a secure channel area. In one embodiment, a method is disclosed comprising establishing a secure channel area extending from at least one side of a first vehicle; detecting a presence of a second vehicle in the secure channel area; establishing a secure connection with the second vehicle upon detecting the presence; exchanging messages between the first vehicle and the second vehicle, the messages including a position and speed of a sending vehicle; taking control of a position and speed of the first vehicle based on the contents of the messages; and releasing control of the position and speed of the first vehicle upon detecting that the secure connection was released.

The described technology is generally directed towards combining user identity information, corresponding to user profile data, with vehicle information, such as for use by a traffic zone management system that charges a fee for vehicle usage in a traffic zone. A user device, such as a mobile communications device, can be coupled to vehicle information such as via a transponder that is detected by roadside units, or by uploading the combined information to a wireless communications system. Based on the combination of information, different billing rates or the like can be applied to different users and vehicle types. The technology can work with various communication systems, including roadside units and wireless communication networks.

A method of estimating a number of persons that gathered at an Area of Interest for attending a public happening during a time interval on a day is proposed. Said Area of Interest is defined by an Area of Interest center and an Area of Interest radius and is covered by a mobile telecommunication network having a plurality of communication stations each of which is adapted to manage communications of user equipment in one or more served areas in which the mobile telecommunication network is subdivided.

Systems and methods are provided for determining the quality of a civic address produced by a reverse geocoder, utilizing the uncertainty of a geodetic location and a distance between the geodetic location and a geocoded location (i.e., a civic address) determined by the reverse geocoder. Upon receiving a request by a PSAP for a civic address corresponding to a UE initiating a call for emergency services, a node initially identifies a geodetic location of the UE and an uncertainty of the geodetic location. The node initiates an API call to a reverse geocoder API. The node receives a geocoded location corresponding to the geodetic location and compares the geocoded location to the geodetic location to determine a distance between them. Based on the uncertainty of the geodetic location and the distance between the geodetic location and the geocoded location, a quality of the civic address is determined.

Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.

Embodiments include apparatus and method for collecting observation data for updating a geographic database. An initial observation is collected by a first mobile device, a first vehicle, or a first sensor. Along with the geographic position, data indicative of the first observation is send to a server. The central server may analyze of the initial observation data to determine if additional observations should be made and define a bounding box from the geographic position of the first mobile device and the analysis of the initial observation data. A request for additional observations is generated and sent to at least one second mobile device, second vehicle, or second sensor based on the bounding box.

This document is related to enhanced tracking and reporting. An example method may comprise receiving an electronic signal associated with an officer account. The example method may comprise receiving, by a processor, historical data associated with at least one parolee account that is associated with the officer account. The example method may comprise automatically displaying a second set of user interface elements comprising a plurality of sections. The example method may comprise displaying user check-in data in a first section of the second set of user interface elements. The example method may comprise displaying user location data in a second section of the second set of user interface elements. The example method may comprise displaying user interface elements to approve or deny pending check-ins in a third section of the second set of user interface elements.