Creating traffic flows that minimize congestion (hot spots) and enable flow-centric operations is important for future air traffic control.

The benefits and operational feasibility of the Free Route Airspace concept within the ASEAN airspace consisting of 12 Flight Information Regions (FIRs) are evaluated using fast-time simulation.

The proposed model-based framework for air traffic management optimizes arrival and departure flows, balancing capacity and demand. It includes time-varying queuing network models to reduce surface congestion and runway queuing.

Defense of a bachelor thesis on the analysis of factors for the calculation of airspace complexity and subsequent implementation in Python.

Since January 2nd, Mr. Ehsan Asadi is a new member and team leader at the chair.

Optimized boarding approach reduces time by 30%, minimizing virus risk compared to standard methods in various occupancy scenarios.

A prototype of a synthetic LiDAR sensor in a virtual environment of Singapore Changi Airport provides data to train machine learning models.

Since November 1st, Mr. Simon Göppel is a new member of the chair.

The implementation of optimized passenger group sequencing under COVID-19 conditions has the potential to reduce process times by up to 59% and transmission risk by up to 85%.

Since September 1, Mr. Falk Otto is a new member of the chair.

Since August 1, Mr. Fattahi Khaki is a new member of the chair.

Integrated ground/airside airport management optimizes connecting flights for passengers.