Flight Mission Feasibility Assessment of Urban Air Mobility Operations under Battery Energy Constraint

Abstract

This paper introduces a decision-making framework for Urban Air Mobility (UAM) and Unmanned Aerial Systems (UAS) operations that addresses the dual challenges of collision safety and battery energy constraints. To address these issues, the paper proposes a novel two-layer algorithmic framework that conducts pre-departure flight planning and flight mission risk assessment in relation to available battery energy. The upper layer is responsible for strategic de-confliction, while the lower layer performs prognostics and decision-making regarding the execution of the mission. The efficacy of this framework is demonstrated in a UAS scenario designed for package delivery in the University Park area of the Dallas-Fort Worth metropolitan region. The results highlight the framework’s potential to enhance safety and energy efficiency in UAM and UAS operations.

Authors

• Abenezer Taye
• Peng Wei

Keywords

• Engineering
• Environmental Science