The DYNAMIC AIRCRAFT THREAT CONTROLLER MANAGER APPARATUSES, METHODS AND SYSTEMS (DATCM) transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via DATCM components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the DATCM comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DATCM may then determine comprehensive hazards mappings. With (near) real-time comprehensive hazard information and/or predictive turbulence/icing forecast specific to airfoil type and/or profile parameters, the DATCM may allow aircraft to avoid areas where comprehensive hazard is greater than a predetermined threshold and/or avoid areas where turbulence/icing may occur.

The invention described herein provides a flight crew with an easier, more intuitive, system and method to create a flight plan. A flight planning system is presented for navigation of an aircraft utilizing a touch screen display device mounted in an aircraft cockpit spanning the width and height of the instrument panel. The system provides navigational views, an interactive map, charts, a radio frequency component, a weather component, and a virtual flight plan. A flight planning method is presented that uses an interactive map on a touch screen device in an aircraft cockpit. The method accepts user inputs and displays a desired flight plan on the map. A method for providing a chart on a touch screen device is presented that includes presenting a list of menu options on a touch screen mounted in an aircraft cockpit. The method provides the flight crew with heads-up operation, providing greater situational awareness.

Systems and methods of the present invention are provided to generate a plurality of flight trajectories that do not conflict with other aircraft in a local area. Interventions by an air traffic control system help prevent collisions between aircraft, but these interventions can also cause an aircraft to substantially deviate from the pilot's intended flight trajectory, which burns fuels, wastes time, etc. Systems and methods of the present invention can assign a standard avoidance interval to other aircraft in the area such that a pilot's aircraft does not receive an intervention by an air traffic control system. Systems and methods of the present invention also generate a plurality of conflict-free flight trajectories such that a pilot or an automated system may select the most desirable flight trajectory for fuel efficiency, speed, and other operational considerations, etc.

The hazard warning system that included processing system for detecting a high altitude ice crystal (HAIC) condition. The aircraft warning system can use at least two types of radar returns to detect the HAIC condition. Warnings of high altitude ice crystal conditions can allow an aircraft to avoid threats posed by HAIC conditions including damage to aircraft equipment and engines.

Methods and systems are provided for presenting forecast information pertaining to a planned route of travel, such as a flight plan. One exemplary method involves obtaining a plurality of forecast data sets associated with a plurality of different forecast time periods and subdividing a route into a plurality of forecast regions encompassing respective portions of the route based on the times associated with the navigational reference points defining the route. Each forecast region of the plurality of forecast regions is associated with a respective forecast time period. For each forecast region, a graphical representation of a subset of the forecast data set associated with that forecast region's associated forecast time period that corresponds to the geographic area of that forecast region is displayed on a display device concurrently to displaying a graphical representation of the route.

A method and system for downloading aeronautical data using an automatic dependent surveillance-broadcast (ADS-B) is provided. The method comprises creating a first data sequence structure that includes a receive time for each of one or more received ADS-B messages; creating a second data sequence structure that includes a packet time for each of one or more received aeronautical data packets that are without position information; mapping the received aeronautical data packets respectively to the ADS-B messages by comparing the receive time for each of the received ADS-B messages with the packet time for each of the received aeronautical data packets to produce a correlation between the ADS-B messages and the aeronautical data packets; and deriving position information for each of the received aeronautical data packets from each correlation between an ADS-B message and an aeronautical data packet.

Systems and methods of crowd sourcing data are provided. In one embodiment, a method of crowd sourcing data comprises: receiving data region boundary information from an aggregation system, the data region boundary information defines boundaries of data regions; determining membership in a data group for a vehicle based on position of the vehicle within a region; determining whether another member of the data group has been selected as data source; determining whether the vehicle can provide information to the data aggregation system; broadcasting a self-nomination message for the information to members of the data group, wherein the self-nomination message self-selects the vehicle as data source for the information; wherein the self-nomination message identifies the type of information; and transmitting the information from the data source to the data aggregation system via a communication link, wherein only the data source transmits the information to the data aggregation system for the data group.

A navigation aid method for an aircraft flying a reference trajectory between a point of departure and a point of arrival subject to a field of wind vectors comprises: decomposing the reference trajectory into a plurality of discrete waypoints Pi, loading meteorological data comprising the field of wind vectors, iterating the following steps N times, to generate an improved trajectory: for each waypoint Pi named current point, determining a reference plane, determining an orthonormal reference frame, determining a wind curl ((W).sub.Pi), determining a sign of the projection of the wind curl on axis zi ((W).sub.zi .sub.Pi), determining a direction of displacement from the current point Pi to a new current waypoint Pi, determining a line of displacement, determining a displacement distance, determining the new current waypoint, determining a new trajectory, assigning the new waypoints Pi determined in the preceding iteration to the waypoints Pi for the next iteration.

Various technologies pertaining to dynamically identifying travel segments to be taken by a traveler traveling in a region are described herein, where observations about travel segments in the region are sparse and subject to alteration. A computer-implemented graph can be loaded into a memory, where the computer-implemented graph is representative of the region. The computer-implemented graph includes nodes that represent locations in the region and edges that represent travel segments of the region, where the edges have costs assigned thereto, and further where there is a defined statistical relationship between the costs. When an observation about a travel path is received, using the computer-implemented graph, inferences can be made about costs of traversing other travel paths in the region.

A computer method for determining potential wake turbulence by a first aircraft from wake generated by a second aircraft. The computer method includes receiving a signal generated by the second aircraft at the first aircraft and transforming the signal to a first wake turbulence boundary that represents the wake generated by the second aircraft. An intersection volume, which is representative of a zone of dangerous turbulence interactions, is selected for the first aircraft. Based on a determination of intersection between the first wake turbulence boundary and the intersection volume, issuing a warning flag if an intersection exists or continue generating the first wake turbulence boundary and determining whether interactions exist.