Von Mengden, DominikDominikVon MengdenReinisch, FelixFelixReinischMichelmann, JohannesJohannesMichelmannNie, XueqingXueqingNieKirwa, BrianBrianKirwaStute, PhilippPhilippStuteBuck, Felix LeonFelix LeonBuckCanet, AleixAleixCanetGollnick, VolkerVolkerGollnick2024-09-112024-09-112024-07AIAA Aviation Forum and ASCEND 20249781624107160https://hdl.handle.net/11420/49027As electric Vertical Takeoff and Landing (eVTOL) vehicle technologies mature, there is a growing need for ecosystem solutions that accommodate their safe and efficient operation. In this context, the herein study within the Air Mobility Initiative presents a two-fold approach to the integration of novel eVTOL operations into complex airspace environments using the example of Munich Airport. The first step focuses on the definition of eVTOL approach and departure procedures between Munich’s independent parallel runways based on today’s valid regulation. Afterwards, the second step analyzes potential deficiencies on this basis and proposes a novel procedure based on dynamic airspace reconfigurations and predictive Artificial Intelligence (AI) models for aircraft times of arrival, which go beyond today’s regulation. Results show that eVTOL approach routes and times can be significantly reduced with such dynamic airspace reconfigurations, which increases the overall efficiency of integrated operations of conventional aircraft as well as novel eVTOL operations. In addition, first steps towards the integration of noise considerations into trajectory design are introduced.enTechnology::629: Other Branches::629.1: Aviation::629.13: Aviation EngineeringSocial Sciences::380: Commerce, Communications, TransportConference Paper10.2514/6.2024-3786Conference Paper