This infrastructure is characterized in that the multimodal network grouping together a plurality of monomodal networks, each monomodal network being equipped with an individual operating system, the supervision infrastructure includes a plurality of local supervision modules, each local supervision module being associated with a transfer station providing an interconnection between at least two of the monomodal networks and being able to perform a real-time synthesis of the traffic at the associated transfer station and continuously execute a plurality of operating rules by using operating data from the traffic synthesis so as to generate at least one setpoint, and to send the setpoint to at least one operating system of one monomodal network from among the monomodal networks interconnected to the associated transfer station.

A system of autonomous vehicles for forming a team of autonomous vehicles to perform a designated set of tasks. Each vehicle stores data representing its own capabilities that match the tasks, data representing needed capabilities for the team to perform the tasks, and data representing the capabilities of all current team members. Each of the vehicles is equipped with a communications system operable to send and receive join request messages and join response messages. All join request message contain the capabilities of the sending vehicle. All join response messages contain current team capabilities data. Upon receipt of a join request message, a vehicle compares needed capabilities data to the received capabilities data, and if there are matched capabilities, it updates the team capabilities data and transmits a join response message. Upon receipt of a join response message, if the message indicates the sending vehicle has joined the team, the receiving vehicle updates the team capabilities list.

A system for delivering articles (34) from a start point (54) to a destination point (56), having at least one drone (20), which a) has a flight control unit (22) configured for autonomous flying, b) has at least one flight motor realized as an electric motor (24), c) has a battery (28) that supplies the flight motor with voltage, d) has a programmable control (30) unit, and e) on its underside has a coupling (34) for electrical, and preferably also mechanical, connection, having a control center (50), which is wirelessly connected to the control unit (30) of the drone (20), having a mobility network consisting of a fleet of vehicles (44), in particular road vehicles, each vehicle having a drone carrier (40), which has a mating coupling (38) that acts in combination with the coupling (36), and having a digital mobility platform (46), which is wirelessly connected to the fleet of vehicles (44) and which is informed about their travel schedules, drone carriers (40) and current locations of the vehicles (44), and is connected to the control center (50).

An unmanned aerial system and a method are disclosed. An unmanned aerial system may include: a telematics service server; an unmanned aerial apparatus; and a vehicle. In particular, the telematics service server obtains a destination of the unmanned aerial apparatus, a movement path of the vehicle, a current location of the unmanned aerial apparatus, and a current location of the vehicle, and also searches for the vehicle with which the unmanned aerial apparatus is able to move in collaboration. The telematics service server controls a collaborative movement between the unmanned aerial apparatus and the vehicle, and the unmanned aerial apparatus transmits and receives information for the collaborative movement from the telematics service server. In addition, the vehicle carries the unmanned aerial apparatus according to a request from the telematics service server, and moves together with the unmanned aerial apparatus.

An unmanned aerial system and a method are disclosed. An unmanned aerial system may include: a telematics service server; an unmanned aerial apparatus; and a vehicle. In particular, the telematics service server obtains a destination of the unmanned aerial apparatus, a movement path of the vehicle, a current location of the unmanned aerial apparatus, and a current location of the vehicle, and also searches for the vehicle with which the unmanned aerial apparatus is able to move in collaboration. The telematics service server controls a collaborative movement between the unmanned aerial apparatus and the vehicle, and the unmanned aerial apparatus transmits and receives information for the collaborative movement from the telematics service server. In addition, the vehicle carries the unmanned aerial apparatus according to a request from the telematics service server, and moves together with the unmanned aerial apparatus.

A goods transporting system with aerial machines utilizes instantaneous collection of location information and future moving path planning information of multiple ground and/or surface vehicles to pair with the delivery path of the goods. The aerial machine can be parked on the selected ground and/or the surface vehicle in the path of taking and transporting the goods, thereby saving power consumption of the aerial machine and effectively extending the transport distance for the goods.

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may determine the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage, by a predictive environment agent (PEA), the expected event.

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may determine the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage, by a predictive environment agent (PEA), the expected event.

Unmanned aerial vehicles and related methods and systems are disclosed. An example unmanned aerial vehicle, comprising: a body and a propulsion source to propel the unmanned aerial vehicle during flight; and a display carried by the unmanned aerial vehicle to display a message to coordinate traffic, the display actuatable between a deployed position to enable the message to be conveyed and a stowed position in which aerodynamics of the unmanned aerial vehicle are enhanced.

Flight based infrared imaging systems and related techniques, and in particular unmanned aerial system (UAS) based systems, are provided for aiding in operation and/or piloting of a mobile structure. Such systems and techniques may include determining environmental conditions around the mobile structure with the UAS detecting the presence of objects and/or persons around the mobile structure and/or determining the presence of other structures around the mobile structure. Instructions for the operation of such mobile structures may then be accordingly determined responsive to such data.