Aircraft Emergency Landing Areas Accessibility Analysis Using Multi-objective Optimization.

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Bibliographic Details
Title:	Aircraft Emergency Landing Areas Accessibility Analysis Using Multi-objective Optimization.
Authors:	Illi, Adil¹ a.illi.ced@uca.ac.ma, El Guarmah, El Mahdi² guarmah@gmail.com, El Hadaj, Salah³ elhadajs@yahoo.fr, Bouzaachane, Khadija⁴ k.bouzaachane@uca.ac.ma
Source:	Engineering Letters. May2026, Vol. 34 Issue 5, p1969-1977. 9p.
Subjects:	Multi-objective optimization, Trajectory optimization, Model validation, Real-time computing, Landing (Aeronautics), Mathematical models, Optimization algorithms, Aeronautical safety measures
Abstract:	This paper presents a mathematical modeling framework for emergency aircraft landing trajectories, aimed at enhancing safety during time-critical situations. At the heart of this framework is a novel formulation of objective functions that capture the essential trade-offs involved in emergency descent planning. These functions are designed to minimize altitude loss and turning effort while ensuring alignment with the magnetic heading of a selected landing site. The descent trajectory is analytically segmented into four parts, defined by turn angles, radii, and segment lengths, and shaped according to aircraft performance constraints such as bank angle and vertical speed. The objective functions are integrated into a multi-objective optimization scheme to evaluate and compare candidate trajectories. Among various solvers tested, AGE-MOEA demonstrated the best real-time suitability, with a 98-millisecond response time and strong convergence performance, outperforming NSGA-II, which required 188 milliseconds. Simulation results validate that the proposed mathematical model, driven by the new objective functions, can effectively produce dynamically feasible and safe trajectories, significantly improving emergency landing outcomes. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	This paper presents a mathematical modeling framework for emergency aircraft landing trajectories, aimed at enhancing safety during time-critical situations. At the heart of this framework is a novel formulation of objective functions that capture the essential trade-offs involved in emergency descent planning. These functions are designed to minimize altitude loss and turning effort while ensuring alignment with the magnetic heading of a selected landing site. The descent trajectory is analytically segmented into four parts, defined by turn angles, radii, and segment lengths, and shaped according to aircraft performance constraints such as bank angle and vertical speed. The objective functions are integrated into a multi-objective optimization scheme to evaluate and compare candidate trajectories. Among various solvers tested, AGE-MOEA demonstrated the best real-time suitability, with a 98-millisecond response time and strong convergence performance, outperforming NSGA-II, which required 188 milliseconds. Simulation results validate that the proposed mathematical model, driven by the new objective functions, can effectively produce dynamically feasible and safe trajectories, significantly improving emergency landing outcomes. [ABSTRACT FROM AUTHOR]
ISSN:	1816093X