Abstract: Systems, apparatuses, and methods for acquiring information regarding weather conditions along a flightpath from other aircraft and incorporating that information into a flight path optimization and planning system. The system and methods may acquire substantially real-time information from pilots or other crew who have encountered a weather system or event (e.g., a wind direction or speed measurement, an observation of a storm or lightning, an observation of a difficulty in controlling an aircraft, unexpected excessive turbulence, etc.) and share that information with other airborne pilots or crew, either directly or using a ground-based server. The server may receive and process the acquired information and determine which aircraft may be likely to encounter or be impacted by a weather system or event for which it has received additional weather-related data and information.

Abstract: Systems, apparatuses, and methods for acquiring information regarding weather conditions along a flightpath from other aircraft and incorporating that information into a flight path optimization and planning system. The system and methods may acquire substantially real-time information from pilots or other crew who have encountered a weather system or event (e.g., a wind direction or speed measurement, an observation of a storm or lightning, an observation of a difficulty in controlling an aircraft, unexpected excessive turbulence, etc.) and share that information with other airborne pilots or crew, either directly or using a ground-based server. The server may receive and process the acquired information and determine which aircraft may be likely to encounter or be impacted by a weather system or event for which it has received additional weather-related data and information.

Abstract: Systems, apparatuses, and methods for more effectively providing pilots with optimal suggested route or trajectory changes during flight. This is achieved by at least two primary improvements: (1) expanding the set of available aircraft performance “models” used in the TASAR system's generation of recommended flight trajectory changes to account for the characteristics of a larger set of aircraft; and (2) modifying a baseline model for a type of aircraft to take into account the operating characteristics and condition of an individual aircraft. The baseline model may be generated by collecting data regarding the characteristics of a set of aircraft having a common manufacturer, type (e.g., airframe or class), and specific features. The collected operational and performance data may be used as input data or “features” for a machine learning algorithm to generate a parameter of a performance model.