Collaborative Route Time Slot and Flight Level Allocation
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Solution Overview
Problem
Existing air traffic management systems lack a method for collaborative and optimal allocation of route time slots and flight levels, which affects flight efficiency and trajectory optimization.
Innovation Solution
A method for collaborative and optimal allocation of route time slots and flight levels is established using a multi-objective optimization model, considering factors like fuel consumption, ground delay, and flight level changes, to maximize route traffic operation efficiency and optimize flight trajectories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If flight level is not allocated collaboratively with route time slot, then allocation process is simpler, but fuel consumption cannot be optimized and flight trajectory is not optimized
Solution Approach 1:
The patent merges the route time slot allocation process with the flight level allocation process into a unified collaborative allocation system. By combining these two previously separate allocation processes, the system optimizes fuel consumption across both dimensions simultaneously, achieving energy efficiency that neither process could achieve independently.
Solution Approach 2:
The allocation system performs multiple functions simultaneously: it allocates route time slots, assigns flight levels, optimizes fuel consumption, and refines flight trajectories. This multi-functional approach allows a single system to address diverse optimization goals without requiring separate specialized processes for each function.
2Adaptability or versatility
If multiple allocation strategies are provided for decision maker selection, then allocation flexibility is improved, but decision-making complexity increases
Solution Approach 1:
The system dynamically generates multiple allocation strategies based on real-time conditions and constraints, allowing the allocation approach to adapt flexibly to different scenarios. This dynamic generation of options provides versatility while the system manages the complexity of presenting and evaluating multiple strategies to decision makers.
Data Source
AI summary
A method for collaborative and optimal allocation of a route time slot and a flight level comprises: acquiring planned route information and alternative route information in a traffic limited airspace, available time slot information of a downstream airspace unit of the planned route, and flight operation information first, then formulating an algorithm for the collaborative and optimal allocation of the route time slot and the flight level, establishing an objective function and a constraint condition which meet effectiveness by taking a minimum total ground delay loss of all flights, a minimum change number of flight levels of all flights and a minimum total fuel consumption of all flights as objectives, further establishing a multi-objective optimization model for the collaborative allocation of the route time slot and the flight level, and forming a strategy for the collaborative and optimal allocation of the route time slot and the flight level.