A method for displaying a smooth movement of a vehicle on a map may include obtaining a route, a last real-time location of the vehicle, and a last uploading time point. The method may also include obtaining driving data of one or more neighboring vehicles and determining a predicted location of the vehicle at a prediction generating time point. The method may further include displaying a smooth movement of the vehicle from the last real-time location to the predicted location on a map. A method for displaying a driving path of a vehicle on a map may include obtaining a request for displaying a driving path of a vehicle, location information of the vehicle, and scene related information associated with the driving path. The method may further include verifying the location information based on the scene related information and displaying the driving path of the vehicle on a map.

A method for displaying a smooth movement of a vehicle on a map may include obtaining a route, a last real-time location of the vehicle, and a last uploading time point. The method may also include obtaining driving data of one or more neighboring vehicles and determining a predicted location of the vehicle at a prediction generating time point. The method may further include displaying a smooth movement of the vehicle from the last real-time location to the predicted location on a map. A method for displaying a driving path of a vehicle on a map may include obtaining a request for displaying a driving path of a vehicle, location information of the vehicle, and scene related information associated with the driving path. The method may further include verifying the location information based on the scene related information and displaying the driving path of the vehicle on a map.

A management server system may obtain sensor data generated by a plurality of sensors from a plurality of gateway devices. The sensor data may be associated with a plurality of vehicles. The management server system may identify, for each vehicle of the plurality of vehicles, a subset of the sensor data associated with a particular vehicle. The management server system may generate, in real time, for each vehicle of the plurality of vehicles, a virtual representation of the particular vehicle based on the subset of the sensor data associated with the particular vehicle. The management server system may generate a user interface that includes visualizations of virtual representations of the plurality of vehicles. The management server system may update, in real time, the visualizations of the virtual representations of the plurality of vehicles based on obtaining additional sensor data from the plurality of gateway devices.

A management server system may obtain sensor data generated by a plurality of sensors from a plurality of gateway devices. The sensor data may be associated with a plurality of vehicles. The management server system may identify, for each vehicle of the plurality of vehicles, a subset of the sensor data associated with a particular vehicle. The management server system may generate, in real time, for each vehicle of the plurality of vehicles, a virtual representation of the particular vehicle based on the subset of the sensor data associated with the particular vehicle. The management server system may generate a user interface that includes visualizations of virtual representations of the plurality of vehicles. The management server system may update, in real time, the visualizations of the virtual representations of the plurality of vehicles based on obtaining additional sensor data from the plurality of gateway devices.

A method of estimating the congestion degree and the number of people with high accuracy and at a low cost, without requiring a surveillance camera, is provided. Provided are a congestion degree estimating step of estimating a congestion degree based on sensor information (such as acceleration information) of a portable terminal device, an average congestion degree calculating step of calculating an average congestion degree for each mesh (reference range) set in advance, based on the congestion degree estimated in the congestion degree estimating step for a plurality of portable terminal devices, and an estimated number-of-people calculating step of calculating an estimated number of people for each mesh by multiplying the average congestion degree calculated in the average congestion degree calculating step by a base number of people (maximum number of accommodated people) determined in advance for each mesh.

A method of estimating the congestion degree and the number of people with high accuracy and at a low cost, without requiring a surveillance camera, is provided. Provided are a congestion degree estimating step of estimating a congestion degree based on sensor information (such as acceleration information) of a portable terminal device, an average congestion degree calculating step of calculating an average congestion degree for each mesh (reference range) set in advance, based on the congestion degree estimated in the congestion degree estimating step for a plurality of portable terminal devices, and an estimated number-of-people calculating step of calculating an estimated number of people for each mesh by multiplying the average congestion degree calculated in the average congestion degree calculating step by a base number of people (maximum number of accommodated people) determined in advance for each mesh.

An information processing apparatus includes: a risk area identification unit configured to identify a risk area outside a moving object; a transmission control unit configured to control sending risk area information indicating the risk area identified by the risk area identification unit to a server for retaining information indicating a risk area; and a reception control unit configured to control receiving the information indicating the risk area retained in the server in relation to a planned traveling route of the moving object, wherein the transmission control unit is configured to control sending evaluation information regarding evaluation of the risk area indicated by the information received from the server when the risk area identification unit could not identify, on the planned traveling route, the risk area indicated by the information received from the server.

A terminal device according to one aspect of an embodiment includes a storage, an acquisition unit, a selection unit, and a transmitting unit. The storage stores therein imaging data captured from a moving body. The acquisition unit acquires a transmitting request for imaging data transmitted from an external device on the basis of positional information on the moving body. The selection unit selects, from among the imaging data stored in the storage, target data that is imaging data corresponding to the transmitting request acquired by the acquisition unit. The transmitting unit transmits the target data selected by the selection unit.

A terminal device according to one aspect of an embodiment includes a storage, an acquisition unit, a selection unit, and a transmitting unit. The storage stores therein imaging data captured from a moving body. The acquisition unit acquires a transmitting request for imaging data transmitted from an external device on the basis of positional information on the moving body. The selection unit selects, from among the imaging data stored in the storage, target data that is imaging data corresponding to the transmitting request acquired by the acquisition unit. The transmitting unit transmits the target data selected by the selection unit.

The controller of the server of the information processing apparatus acquires the travel plan data relating to the travel plan of the vehicle from the communication terminal via the server communicator determines whether the map data needs to be updated, which is stored in the memory of the vehicle and used for travel in accordance with the travel plan. The controller transmits an inquiry signal inquiring of the user whether to permit updating of the map data to the communication terminal via the server communicator. The controller transmits an update instruction signal for instructing the update of the map via the server communicator to the on-vehicle communicator when receiving a permission signal permitting the update of the map data.