A method of altering an operating state of a transportation system may include: receiving social data from a plurality of social data sources about at least one occupant of a vehicle of the transportation system; analyzing, at a first neural network, the social data and associating the social data with a route plan for the vehicle occupied by the at least one occupant; predicting, by the first neural network, an effect on a satisfaction of the at least one occupant based on the route plan of the vehicle through an analysis of the social data; and altering, by the first neural network, a route plan of the transportation system responsive to the predicted effect.

A system for improving a state of a rider in a vehicle includes at least one Internet-of-Things (IoT) device and an artificial intelligence system. The at least one IoT device in disposed in the environment of the vehicle, the at least one IoT device to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle. The artificial intelligence system for processing the data output by the at least one IoT device to determine a determined state of the vehicle and to improve the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A system for improving a state of a rider in a vehicle includes at least one Internet-of-Things (IoT) device and an artificial intelligence system. The at least one IoT device in disposed in the environment of the vehicle, the at least one IoT device to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle. The artificial intelligence system for processing the data output by the at least one IoT device to determine a determined state of the vehicle and to improve the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A method of operating a vehicle in a transportation system includes: receiving data collected for each of a set of users based on interactions of the set of users with a user interface of the vehicle including at least one of a vehicle data system, a vision system, and a connected system; performing robotic process automation on the interactions; learning changes in driving style using an artificial intelligence system based on the robotic process automation; and undertaking an action within the vehicle on behalf of the user based on the learned changes in driving style.

A method of operating a vehicle in a transportation system includes: receiving data collected for each of a set of users based on interactions of the set of users with a user interface of the vehicle including at least one of a vehicle data system, a vision system, and a connected system; performing robotic process automation on the interactions; learning changes in driving style using an artificial intelligence system based on the robotic process automation; and undertaking an action within the vehicle on behalf of the user based on the learned changes in driving style.

A system may include an artificial intelligence system for processing data output by at least one Internet-of-Things device associated with the vehicle, wherein the at least one Internet-of-Things device is configured to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle, and wherein the artificial intelligence system is configured to determine a determined state of the vehicle and to adjust the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A system may include an artificial intelligence system for processing data output by at least one Internet-of-Things device associated with the vehicle, wherein the at least one Internet-of-Things device is configured to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle, and wherein the artificial intelligence system is configured to determine a determined state of the vehicle and to adjust the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.

A display apparatus (400) includes: a reception unit that receives a plurality of captured images (415a-415f); a display control unit that displays, on a display, the plurality of captured images for selection (420) by a user, as a candidate of a movement destination of a mobile apparatus; an operation input unit that receives selection of one or more captured images from among the plurality of captured images being displayed; an autonomous movement request generator that generates autonomous movement request information including information on the one or more selected captured images; and a transmission unit that transmits the autonomous movement request information that causes the mobile apparatus to autonomously move to one or more movement destinations each corresponding to an area indicated by corresponding one of the one or more selected captured images.

There is provided a control device including an image display unit configured to acquire, from a flying body, an image captured by an imaging device provided in the flying body and to display the image, and a flight instruction generation unit configured to generate a flight instruction for the flying body based on content of an operation performed with respect to the image captured by the imaging device and displayed by the image display unit.

An autonomous running vehicle transmits a camera image around the vehicle photographed by a camera to a remote monitoring center. An obstacle is detected on the basis of information obtained from autonomous sensors including the camera. When an obstacle is detected, the autonomous running vehicle is automatically stopped. The remote monitoring center determines, when the autonomous running vehicle automatically stops, whether or not the run of the autonomous running vehicle is permitted to restart on the basis of the received camera video. When it is determined that the autonomous running vehicle can be restarted, a departure signal is transmitted to the autonomous running vehicle. When the departure signal is received from the remote monitoring center, the autonomous running vehicle restarts running.