How to unlock route optimization for aeVTOL aircrafts through strategic planning? A novel-framework-based examination

Abstract

This research aims to strategically plan and optimize routes for autonomous electric Vertical Take-off and Landing (aeVTOL) aircraft, with the objective of enhancing their operational efficiency. Firstly, twelve strategic factors critical to optimizing aeVTOL aircraft routes were identified. Subsequently, these factors were ranked using the Full Consistency Method (FUCOM), with “Battery Capacity and Charging Infrastructure”, “Passenger Demand,”, and “Vehicle Range and Capabilities” emerging as the most decisive in determining optimal routes. The model developed in this manuscript evaluates five aeVTOL prototypes, designated as G1, G2, G3, G4, and G5, flying on five different routes. Taking the top-ranked strategic factors into account, the Cubic Intuitionistic Aczel-Alsina method was subsequently employed to find which aircraft operated on the most optimal route. The findings of the analysis demonstrate that aircraft G2 and G4 flew on the most optimal routes, followed by G5 and G1. Conversely, aircraft G3 was found to be operating on the least favorable route. Furthermore, we conducted a comparative analysis with the findings from previously published literature. This manuscript introduces a novel approach to route optimization by integrating the FUCOM method with the Cubic Intuitionistic Aczel-Alsina Operator, enhancing the sustainable and efficient deployment of aeVTOL technology.