Tailored Arrivals Trajectory Predictor for Flight Timing
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Solution Overview
Problem
Current systems lack the ability to generate trajectories that are tailored to modified aircraft intent for achieving target arrival timing in a flight-efficient manner, failing to consistently match desired outcomes due to lack of flexibility in incorporating vertical, lateral, speed, and time constraints.
Innovation Solution
A system comprising a flight object manager and a trajectory predictor that generates trajectory predictions using flight plans, schedules, and status information, with a segment sequence manager and databases to store and process flight information, allowing for initialization of trajectory integration based on current aircraft headings and intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current systems use standard trajectory generation methods, then the system structure remains simple, but the system cannot generate trajectories tailored to modified aircraft intent for achieving target arrival timing
Solution Approach 1:
The trajectory generation system is divided into distinct functional modules: a flight object manager that processes flight plans and intent information, a trajectory predictor that generates predicted trajectories, and a clearance generator that creates arrival clearances. This segmentation allows each module to specialize in specific tasks, enabling tailored trajectory generation while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system dynamically adjusts trajectory generation based on modified aircraft intent. The flight object manager receives real-time flight information and intent changes, and the trajectory predictor dynamically generates customized trajectories that accommodate these modifications while still achieving target arrival timing. This dynamic adaptation enables versatility without requiring a completely different system structure.
2Measurement precision
If the system incorporates multiple constraints (vertical, lateral, speed, time), then trajectory accuracy improves, but processing complexity increases
Solution Approach 1:
The constraint incorporation process is segmented into distinct phases corresponding to different trajectory dimensions. The system separately processes vertical constraints (altitude, descent rate), lateral constraints (horizontal path, waypoints), speed constraints (velocity profiles), and time constraints (arrival timing). This segmentation allows each constraint type to be handled by specialized sub-routines, improving overall trajectory accuracy while keeping processing complexity manageable through organized modularity.
Solution Approach 2:
The system performs preliminary processing of flight intent information and constraint specifications before actual trajectory generation. The flight object manager pre-processes flight plans, extracts relevant parameters, and organizes constraints in advance. This preliminary action prepares the data structure to efficiently handle multiple constraints during trajectory prediction, reducing real-time processing complexity while maintaining high accuracy.
3Loss of information
If the system processes information from disparate sources, then comprehensive flight information is achieved, but information integration difficulty increases
Solution Approach 1:
The flight object manager serves as an intermediary component that receives information from disparate sources including flight plans, flight schedules, and real-time flight status systems. It standardizes and integrates this heterogeneous information into a unified flight information structure that the trajectory predictor can process. This intermediary role eliminates information loss while managing integration difficulty through centralized data normalization and coordination.
Data Source
AI summary
The different advantageous embodiments provide a system for generating trajectory predictions for a flight comprising a flight object manager and a trajectory predictor. The flight object manager is configured to generate flight information using a number of flight plans, a number of flight schedules, and flight status information. The trajectory predictor is configured to receive flight information from the flight object manager and use the flight information to generate the trajectory predictions.