Jan Berling

• Dipl.-Ing.
• Hamburg University of Technology

To guarantee a safe journey for each aircraft, air traffic controllers make sure that separation minima are maintained. To prevent controller overburdening, each controller team is responsible for one confined sector. Furthermore, sectors limit the number of flights entering each hour. Compliance to all sector and airport capacity constraints in da...

This paper presents a modular simulation toolchain for urban air mobility (UAM), used to investigate interdisciplinary challenges in research fields like transportation planning, air-traffic management, control systems and telematics. The simulation framework can be enhanced to evaluate the connection between travel times and demand, or the interde...

When regulated network capacities are violated, flights may be delayed to meet time-based slot restrictions. In addition, reactionary delays occur when time buffers to subsequent flight legs are exceeded. This work aims to minimize both—primary and reactionary delays in a dynamic simulation of the European Air Transportation System. The slot alloca...

This paper introduces a simulation for the safe operation of cargo drones in urban areas. A modular workflow is adapted to simulate the transport between fixed points using the Aurelia X6 pro drone with a payload of up to 5kg. This work considers a future scenario beyond current drone regulations. A high demand is assumed, generating revenues equiv...

The increasing level of urbanisation and traffic congestion promotes the concept of urban air mobility (UAM), which has become a thriving topic in engineering and neighbouring disciplines. The development of a suitable ground-based infrastructure is necessary to supply these innovative vehicles, which mainly includes networks of takeoff and landing...

The current push in automation, communication, and electrical energy storage technologies has the potential to lift urban mobility into the sky. As several urban air mobility (UAM) concepts are conceivable, all relevant physical effects as well as mutual interrelations of the UAM system have to be addressed and evaluated at a sufficient level of fi...

Due to flight density in the European airspace, numerous conflicts between aircraft arise. Avoiding conflicts before take-off could improve safety; however, stochastic disturbances to trajectories inhibit deterministic conflict prevention. Conflict probabilities between planned flights can be calculated with departure distributions. We reduce confl...

The complexity of European Air Traffic is accompanied by a continuous risk of conflicts between aircraft. In particular, inaccurate forecasts of aircraft positions prevent a fail-proof prediction of conflicts, especially for large look-ahead times. Uncertainty of departure times is one of the most important factors in trajectory prediction. Therefo...

In this paper potential two-aircraft formation candidates will be identified by comparing the point profiles of all scheduled flights in the European airspace on one specific day. The identification of these formation candidates is performed by calculating the amount of time the flights are planned to fly in close vicinity to each other. The format...

In the European Air Traffic Flow Management, en-route conflicts between aircraft may be avoided strategically. One option for strategic deconfliction is the allocation of alternative departure-timeslots. To find the best slots for all flights, we solve a Binary Integer Problem. In this problem, each flight is associated with linear delay costs and...

The purpose of this paper is to introduce an approach, which serves as initial step for the integration of adverse network impact information, like e.g. weather, to tactical European Air Traffic Flow Management (ATFM). A binary optimization methodology for large-scale linear problem decomposition with column-generation and structured variable prici...

The purpose of this paper is to evaluate a slot allocation heuristic algorithm close to Eurocontrol‘s Computer-Aided-Slot-Allocation. The heuristic algorithm represents a First-Planned-First-Serve approach for tactical Air Traffic Flow Management slot allocation in order to balance air traffic demand with network capacities. It is part of DLR‘s Net...