Disclosed are methods, systems, and computer-readable medium for ground-based automated flight management of urban air mobility vehicles. For instance, the method may include: determining whether the ground control system is connected to an UAM vehicle; in response to determining the ground control system is connected to the UAM vehicle, exchanging data with UAM vehicle; automatically and remotely controlling the UAM vehicle using localized temporal data including the data; determining whether further control is necessary; and in response to determining further control is not necessary, releasing the UAM vehicle.

A ground weather center may transmit information requests that carry at least one meteorological specific triggering command. An airborne system may translate the triggering command into detectable meteorological conditions and may arm the trigger(s) for specific weather sensors accordingly and downlink information upon the airborne system detects the triggering conditions. By using such a triggering command, the airborne system may be able transmit the same amount of valuable information with less bandwidth by reducing the number of redundant downlinked packets.

An air hazard alerting method includes acquiring information on one or more events within an airspace, analyzing the information to identify one or more air hazards within the airspace, generating an alert identifying the one or more air hazards, and sending the alert to at least one aircraft within the airspace. The information can be analyzed using one or more machine learning models.

Systems and methods provide dynamically modifiable parameters in required time of arrival (RTA) speed regions of an assigned flight path of an aircraft. The system includes a vertical situation display (VSD) rendering thereon a vertical flight profile of the assigned flight path. A control module is coupled to the display system and configured to: demark the vertical flight profile with a plurality of RTA speed regions related to an initial speed profile; render an RTA speed band graphic having demarked sections vertically representing a speed minimum and speed maximum for an respective RTA speed region, the RTA speed band graphic representing a normalized speed range between zero and a maximum value for each respective RTA speed region. The control module accepts user modifications and updates the RTA speed band graphic and the current speed profile to reflect user input.

The present disclosure provides systems and methods for guiding a vertical takeoff and landing, VTOL, vehicle to an emergency landing zone. The systems and methods include determining, via at least one processor, candidate landing zone data by interrogating an emergency landing zone database based at least on VTOL vehicle location, the candidate landing zone data representing a list of candidate emergency landing zones. A target emergency landing zone is selected from the list of candidate emergency landing zones based at least on VTOL vehicle related issues including at least one of unanticipated yaw issues, ground effect issues and modified trend vector issues, thereby providing target emergency landing zone data. Guidance for the VTOL vehicle is determined based on the target emergency landing zone data.

In an aspect a system for energy tracking in an electric aircraft. A system includes at least a battery pack. At least a battery pack includes a plurality of battery modules. A system includes a sensing device. A sensing device is configured to detect a battery parameter of at least a battery module of a plurality of battery modules. A sensing device is configured to generate battery data as a function of a detected battery parameter of at least a battery module. A system includes a computing device. A computing device is in electronic communication with a sensing device. A computing device is configured to receive battery data from a sensing device. A computing device is configured to determine an energy amount of a plurality of battery packs as a function of battery data.

A graphical user interface (GUI) system for facilitating aircraft approaching and landing includes a database for storing airfields information and associated one or more approach patterns. The system also includes a display screen with user input interface configured for selecting a pattern for an aircraft to approach and land on an airfield, displaying the selected pattern in an overhead graphical view of the airfield according to the related information stored in the database. The system further includes a processing unit in signal communication with the database, one or more aircraft position sensors, and the display screen. The processing unit is configured to receive aircraft location and movement information from one or more aircraft sensors, airfield information from the database, and user input from the user input interface to determine display content and format of the display content on the display screen.

According to one embodiment, there is provided an aviation weather control system including: a processing unit configured to receive weather information of an area to be overseen including a vertically integrated liquid water content, and specify a weather phenomenon affecting an airplane based on the received weather information; and a notification unit configured to notify the weather phenomenon specified by the processing unit.

The disclosure provides a method and an apparatus for predicting flight delay, a device and a storage medium. The method includes: acquiring flight historical data, where the flight historical data includes take-off amount and delay amount of flights during each of a plurality of time periods; determining prior knowledge of each of the plurality of time periods according to the take-off amount and the delay amount of the flights during each of the plurality of time periods; constructing a SVM prediction model according to the prior knowledge and a standard SVM model; and predicting a flight delay situation according to the SVM prediction model. The prediction of the flight delay situation for each of the plurality of time periods is realized.

A UAV delivery control system is disclosed. Sensors detect operation parameters associated with the UAV as the UAV maneuvers along an airborne delivery route. A UAV operation controller monitors UAV route parameters as the UAV maneuvers along the airborne delivery route. The UAV route parameters are indicative as to a current environment of the airborne delivery route that the UAV is encountering. The UAV operation controller automatically adjusts the operation of the UAV to maintain the operation of the UAV within an operation threshold based on the operation parameters and the UAV route parameters. The operation threshold is the operation of the UAV that is maintained within an overall airborne operation radius of the UAV from a return destination thereby enabling the UAV to execute the delivery of the package along the airborne delivery route and to return to the return destination.