Continuous Descent Operations (CDO) can significantly reduce fuel burn and noise impact by keeping arriving aircraft at their cruise altitude for longer and then having a continuous descent at near-idle thrust with no level-flight segments. Designing concise, efficient and flexible arrival routes for high-level automation in generating conflict-free and economical trajectories, is a cornerstone for fully achieving CDO in high-density traffic scenarios. In this research, inspired by the Point Merge (PM), we design the Inverted Crown-Shaped Arrival Airspace (ICSAA) and its operational procedures in the terminal area to deliver Omni-directional CDO. In order to generate alternative optimal conflict-free trajectories for upcoming aircraft in an efficient manner, we established a multi-objective trajectory optimization model solved by Non-dominated Sorting Genetic Algorithm with Elitist Strategy (NSGA-Ⅱ). The Parote solutions of minimal fuel consumption and trip time were achieved in single aircraft and highly complex multi-aircraft scenarios. Results validated the effectiveness and acceptable computational cost (less than 5min in extremely high-density scenarios) of proposed algorithm. In addition, ICSAA seems to be a promising structure that could promote the application of CDO for its operational flexibility and capacity.


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    Title :

    Multi-Objective Optimization of CDO Trajectory in a Flexible Airspace Structure


    Contributors:
    Li, Wenbo (author) / Yang, Lei (author) / Chen, Yutong (author) / Zhang, Haoran (author) / Zhao, Zheng (author)


    Publication date :

    2020-09-01


    Size :

    2136852 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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