A disclosed method includes receiving data inputs for a plurality of events including alarms, sensors, and mobile device emergency call and emergency alert related emergency data; determining event correlations based on the data inputs to generate a set of correlated events; determining emergency network dispatch rules for each correlated event based on event type; applying corresponding emergency network dispatch rules to each corresponding correlated event; and sending a dispatch recommendation to an emergency network entity for each correlated event based on application of the corresponding emergency network dispatch rules.

An example operation includes one or more of entering, by a transport, a geo-fence, wherein the geo-fence is associated with a physical area, determining, by a server, a responsibility associated with the entering, providing, by the server, the responsibility to the transport, and verifying, by the server, that the responsibility is satisfied.

A pickup request system includes: a determination unit configured to determine presence or absence of a package in a delivery box provided on a site of a building and whether or not a user is present in a first predetermined range including the building; and a control unit configured to request pickup of the package when it is determined that the user has moved from within the first predetermined range to out of the first predetermined range while the package is present in the delivery box.

A system, method and storage medium for providing an emergency vehicle alert includes first device transmitting EV data including a current location of an EV to a management server, management server receiving the EV data from the first device, the management server determining a geofence for the EV at least based on the received EV data and geographical map data near the EV, and management server transmitting the determined geofence to a second device. The first device is associated with the EV, and the second device is associated with the another vehicle.

A server is provided for determining a congestion level of a travel area and pedestrian's emotion in the travel area based on image data received from a personal mobility; A service area is adjusted based on the determined congestion level and the pedestrian's emotion. The server includes a communicator and a controller that determines a number of pedestrians detected for a preset time based on image data received from a personal mobility. The controller further determines a congestion level of an area on which the personal mobility is traveling based on the number of pedestrians and an average speed of the personal mobility and adjusts a service area for the personal mobility based on the congestion level.

Disclosed are methods, systems, apparatus, and computer programs for self-learning geofences is disclosed. In one aspect, a method involves gathering a plurality of data points associated with one or more Citizens Broadband Radio Service (CBRS) deployers; determining respective identifiers of the one or more CBRS deployers associated with the plurality of data points; clustering, based on the respective identifiers of the one or more CBRS deployers, the plurality of data points into one or more clusters, where each cluster is associated with one of the one or more CBRS deployers, and where each cluster is associated with a geofence of a network of the one or more CBRS deployers; identifying an opportunity for uploading the one or more clusters to a central server; and uploading the one or more clusters to the central server during the identified opportunity.

Provided are a search method and apparatus for an electronic map, a device and a medium that relate to the field of electronic map technology. The implementation solution includes determining whether target search information input by a user is event-type search information; in response to the target search information being the event-type search information, extracting target event content from the target search information; and determining a target POI based on the target event content and event attribute information associated with a POI in the electronic map and using the target POI as a search result. The event attribute information includes at least event content.

Embodiments of methods and apparatuses for acquiring information are provided. One implementation of the method can include: determining an initial area corresponding to a target point of interest, and dividing the initial area corresponding to the target point of interest into a plurality of grids; and generating annotations of the plurality of grids respectively based on characteristics of the plurality of grids. Therefore, whether the user data associated with the each of the plurality of grids is used to generate the attribute of the target point of interest may be directly determined based on the annotation of the each of the plurality of grids, thereby saving the spending of the process of acquiring the user data required for generating the attribute of the target point of interest in data mining. The operation state of the target point of interest may be determined based on the annotation of the grid.

Aspects of the present disclosure provide techniques for dynamic location tracking. Embodiments include receiving a plurality of location records associated with a site, wherein each respective location record of the plurality of location records comprises respective location coordinates of a respective device associated with the respective location record. Embodiments include determining respective distances from a center point of the site to the respective location coordinates in each respective location record of the plurality of location records. Embodiments include determining a radius of a region definition for the site based on the respective distances. Embodiments include receiving a device location from a device associated with a user. Embodiments include performing, based on the device location and the region definition, one or more location-based operations.

Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.