AI-Assisted Optimization in Classical Flight Planning: Case Studies in Cargo Delivery and Tourism Flights

Institut

Lehrstuhl für Flugsystemdynamik

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

theoretisch /  

Beschreibung

Flight planning is a fundamental process in aviation, ensuring efficiency, safety, and regulatory compliance. Traditionally, this process involves multiple manual steps, including route planning, airspace integration, weather assessment, fuel calculations, and risk management. This thesis aims to explore how Artificial Intelligence (AI) and other automated systems can enhance or replace specific aspects of classical flight planning.

The study will analyze two case studies:

1. Cargo Delivery: Autonomous transport of goods (e.g., packages, medical supplies) using a multicopter.

2. Tourism Flights: Passenger transport for sightseeing purposes using an Optionally Piloted Vehicle (OPV).

Möglicher Beginn

sofort

Kontakt

Markus Maly
Raum: MW3605
Tel.: +49 89 289 16080
markus.malytum.de

Ausschreibung