Study on Aircraft Generalized conflict resolution and Trajectory Optimization with Multiple Constraint in Complex Airspace Environment

Xiao, Gang; Liu, Duyu; Liu, Xiaoqin; He, Fang; Ding, Dongjin

doi:10.1109/dasc43569.2019.9081777

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Furthermore, the safety risk of that sector will increase tremendously since loss of separation (LOS) could occur. If a LOS event is unavoidable, the onboard TCAS will work to help pilots execute decision-making in the vertical direction to reestablish safe separation [6]. Considering these two limits for the terminal airspace in high-density traffic flow situations, an advanced auxiliary tool to help pilots make decisions without receiving instructions from the ATC is required to maintain safe airborne separation.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Aircraft Conflict Detection and Resolution Method Based on an Improved Reinforcement Learning Framework

Xu,

Chen,

et al. 2023

International Journal of Aerospace Engineering

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With the steady increase of air traffic column, an auxiliary decision tool is required to compensate the operation redundancy deficiency of more sectors of air traffic control. To solve the problem of nonconflict high-density departure and arrival traffic flow, this method is expected to rapidly establish and maintain safe separation with more flexible changing strategies for aircraft heading and speed. This paper proposes an improved reinforcement learning framework to achieve conflict detection and resolution. The proposed framework includes the first development of an air traffic flow model based on a multiagent Markov decision process. The goal reward function was then maximized by improved Monte-Carlo tree search combined with an upper confidence bound tree. Three simulation scenarios were designed for illustrating the improvements of the proposed algorithm, with the results indicating that the algorithm could establish and maintain safe separation between 20 agents in the simplified hexagon-shaped airspace of Huadong, China. Furthermore, the proposed method was demonstrated to reduce the number of conflicts between aircraft agents by up to 26.32% compared to previous research.

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Section: Introductionmentioning

confidence: 99%