A method for multimodal transportation based on an air vehicle may include confirming, by a transportation management server, freight transfer approval information provided by a freight transfer object that approaches a take-off and landing facility, setting a freight stop zone in response to a demand for freight handling of the freight transfer object, and processing freight loading or unloading of the freight transfer object based on freight information corresponding to the freight transfer object.

Systems and methods are provided for promoting takeoff planning of an aircraft at an airport. The systems include a graphic user interface of a display device onboard the aircraft and a controller configured to, by one or more processors, receive airport data indicative of information relating to runways and runway/taxiway intersections of the airport, receive aircraft data indicative of information relating to the aircraft, receive environment data indicative of information relating to an environment exterior to the aircraft, display, on the graphic user interface, one or more selectable icons configured to allow a user to select one of the intersections of an assigned runway for takeoff, display, on the graphic user interface, takeoff information associated with the selected intersection, determine takeoff performance data indicative of the aircraft taking off from the selected intersection, and display, on the graphic user interface, the takeoff performance data.

A weather depiction system for an aircraft is disclosed. A radar is configured to scan a surrounding environment of the aircraft and provide weather data. An aircraft computing device is configured to: detect weather patterns using the weather data, receive a flight trajectory of the aircraft from a flight management system (FMS), compare the flight trajectory to an altitude of each of the weather patterns, identify the weather pattern as relevant or non-relevant based on the comparison, and present symbols corresponding to the relevant weather patterns on the weather display and exclude symbols corresponding to the non-relevant weather patterns on the weather display.

A weather depiction system for an aircraft is disclosed. A radar is configured to scan a surrounding environment of the aircraft and provide weather data. An aircraft computing device is configured to: detect weather patterns using the weather data, receive a flight trajectory of the aircraft from a flight management system (FMS), compare the flight trajectory to an altitude of each of the weather patterns, identify the weather pattern as relevant or non-relevant based on the comparison, and present symbols corresponding to the relevant weather patterns on the weather display and exclude symbols corresponding to the non-relevant weather patterns on the weather display.

A portion of a vertical structure is determined for inspection by an unmanned aerial vehicle. A flight plan including safe locations around the vertical structure is determined. Each of the safe locations is associated with a respective column of waypoints. The unmanned aerial vehicle navigates according to the flight plan by navigating to a first safe location of the safe locations, navigating vertically along a first column associated with the first safe location, activating sensors to obtain respective sensor information at at least some of the waypoints associated with the first safe location, navigating to a second safe location of the safe locations, navigating vertically along a second column associated with the second safe location, and activating the sensors to obtain respective sensor information at at least some of the waypoints associated with the second safe location.

A portion of a vertical structure is determined for inspection by an unmanned aerial vehicle. A flight plan including safe locations around the vertical structure is determined. Each of the safe locations is associated with a respective column of waypoints. The unmanned aerial vehicle navigates according to the flight plan by navigating to a first safe location of the safe locations, navigating vertically along a first column associated with the first safe location, activating sensors to obtain respective sensor information at at least some of the waypoints associated with the first safe location, navigating to a second safe location of the safe locations, navigating vertically along a second column associated with the second safe location, and activating the sensors to obtain respective sensor information at at least some of the waypoints associated with the second safe location.

A computer-implemented method of enabling optimisation of trajectory for a vehicle, the method comprising: determining a trajectory for the vehicle using: an algorithm; a vehicle model defining path constraints for the vehicle through space; a propulsion system model defining parameters of a propulsion system of the vehicle; an objective function defining one or more objectives; and controlling output of the determined trajectory.

A computer-implemented method of enabling optimisation of trajectory for a vehicle, the method comprising: determining a trajectory for the vehicle using: an algorithm; a vehicle model defining path constraints for the vehicle through space; a propulsion system model defining parameters of a propulsion system of the vehicle; an objective function defining one or more objectives; and controlling output of the determined trajectory.

A mobile, unmanned aircraft takeoff and landing system includes a mobile, auto-leveling aircraft takeoff and landing platform, an unmanned aircraft, global position sensors on the landing platform and unmanned aircraft, and local position sensors on the on the landing platform and unmanned aircraft. The unmanned aircraft includes a flight controller that uses the global position sensors to fly to a vicinity of the landing platform and uses the local position sensors to autonomously land on the landing pad.

A system and method for aircraft ground guidance and control are characterized by: inputting to a server and managing the GPS coordinate values, representing fixed location information, of all airfield lights that are installed within an airfield and can be controlled and monitored; determining whether the real-time coordinates of a moving aircraft on radars cross the fixed coordinates of the airfield lights; and specifying the location of the aircraft if the coordinates of the aircraft cross the fixed coordinates of the airfield lights, and guiding and controlling the airfield lights in the path of the aircraft. Accordingly, provided are the benefits of managing the GPS coordinate values representing fixed location information of airfield lights input to a server, accurately identifying the location of a moving aircraft if the real-time coordinates of the moving aircraft on radars cross the fixed coordinates of the airfield lights, and guiding and controlling the aircraft and airfield lights.