Urban Air Mobility

This first course module gives an overview of all aspects that define "Urban Air Mobility". It explains the concept of Urban Air Mobiltiy as well as all crucial factors, such as vehicle and power train design, infrastructure and vertiport design, air traffic management, the ensuring of safety and airworthiness, sustainability, use cases and concept of operations, city integration and ground transport connection and political support and public acceptance. - Dr Kay Plötner (Bauhaus Luftfahrt Munich).

Dr. Bernd Korn (German Aerospace Center Braunschweig)

Decision makers at airports and airlines face many challenges and require effective decision support to deal with them appropriately. This gives rise to a variety of difficult and interesting problems. In this module, we will look at the three big classes, these problems fall into, and discuss general solution approaches that can be applied. /// Maximilian Moll’s research focuses on reinforcement learning, one of the three areas in machine learning. Here, his particular interest is on combinations with classical methods of operations research as well as application opportunities to prescriptive analytics. The latter pushes past predictive analytics, in the sense that it not only tries to predict the future, but tries to suggest optimal actions to be taken in the present.

He leads the research group “Data-driven Aviation Management” at Munich Aerospace and is leader of the working group “Simulation and Optimization of Complex Systems” of the German Society for Operations Research.

It is difficult to build safe and efficient Urban Air Mobility (UAM) vehicles. In addition, it will be equally challenging to integrate vertiports where UAM vehicles can take off and land in the urban fabric. While there are planning processes that allow to integrate vertiports in the transport and land use planning process, it is difficult to find available space in dense urban areas (where the demand will be particularly high), to gain public acceptance and to reduce negative impacts, such as noise, visual effects and safety issues. This module explains the common transport and land use planning processes that are required to build UAM vertiports. The integration with existing modes is discussed as well as the competition with existing modes. Induced demand is explained and simulation results are presented. // Professor Rolf Moeckel, Associate Professor (Travel Behavior) at Technical University of Munich since 2021; Rudolf Mößbauer Professorship from September 2015 until August 2021; Post-Doctoral Research at National Center for Smart Growth/University of Maryland, USA from August 2013 until August 2015; Doctorate at Institute of Spatial Planning/University of Dortmund, Germany from Julie 2002 until September 2006 (awarded with the 2007 University Dissertation Prize); Diploma at Department of Spatial Planning/University of Dortmund, Germany from October 1998 until August 2000 and from August 2001 until June 2002; Fulbright Scholar (Visiting Graduate Student) at University of Washington/Seattle, USA from September 2000 until July 2001.