Hybrid A*-Based Trajectory Optimization Algorithm for Large Civil Aircraft

This paper presents a trajectory optimization algorithm based on the Hybrid A* algorithm. This algorithm is aimed at optimizing flight time and fuel consumption for large civil aircraft, considering adverse weather conditions and predefined navigation waypoints. The preliminaries involve the development of a flight configuration model, an aircraft dynamics model, the establishment of a 3D workspace with navigation waypoints, the modeling of meteorology, and the addressing of waypoint constraints. Following this comprehensive groundwork, the Hybrid A*-based algorithm, employed to determine an optimal path within the 3D workspace while accommodating severe weather conditions and following navigation waypoints, is then introduced. In the experiment, the algorithm is tested using two distinct types of flight routes: a long-distance route and a short-distance route. The results demonstrate optimized outcomes that thoroughly consider adverse weather conditions and navigation waypoints, effectively optimizing both flight time and fuel consumption while upholding safety and efficiency standards.

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Publication Details

Journal
Journal of Aircraft
Published
2025-08-18
DOI
https://doi.org/10.2514/1.c038365
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Hybrid A*-Based Trajectory Optimization Algorithm for Large Civil Aircraft

Yueyao Cao, Yiqun Dong, Yunmei Zhao, Jianliang Ai et al.
Journal of Aircraft
Air Traffic Management and Optimization
article

Hybrid A*-Based Trajectory Optimization Algorithm for Large Civil Aircraft

Yueyao Cao, Yiqun Dong, Yunmei Zhao, Jianliang Ai, Tao Xue
article en

Abstract

This paper presents a trajectory optimization algorithm based on the Hybrid A* algorithm. This algorithm is aimed at optimizing flight time and fuel consumption for large civil aircraft, considering adverse weather conditions and predefined navigation waypoints. The preliminaries involve the development of a flight configuration model, an aircraft dynamics model, the establishment of a 3D workspace with navigation waypoints, the modeling of meteorology, and the addressing of waypoint constraints. Following this comprehensive groundwork, the Hybrid A*-based algorithm, employed to determine an optimal path within the 3D workspace while accommodating severe weather conditions and following navigation waypoints, is then introduced. In the experiment, the algorithm is tested using two distinct types of flight routes: a long-distance route and a short-distance route. The results demonstrate optimized outcomes that thoroughly consider adverse weather conditions and navigation waypoints, effectively optimizing both flight time and fuel consumption while upholding safety and efficiency standards.

Journal of AircraftVol. 63(1)
Tongji University (CN), Fudan University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 71%
Air Traffic Management and Optimization
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