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This paper has the goal to propose an approach to enable reliable planning of BEBs in a traffic simulation which acts as the virtual environment. It was shown that the defaults for the vehicle trajectories from the traffic simulation SUMO, introduce significant errors. With some fine tuning and optimization of the vehicle behavior, reasonable results can be obtained from the traffic simulation. This can be used for planning of new bus networks considering many aspects, like energy demand, impact of traffic on delays and the resulting charging times at terminal stations.
At the current development stage, the lower airspace above urban areas is only used to a very limited extent. Recent developments in the drone industry are making this area more accessible with the possibility to set up so-called U-Spaces, where this area is controlled for manned and unmanned aerial participants. The leading use case for drone applications is currently seen in the medical sector. The relevance of the use of medical drones in urban areas and in which conditions the technology will bring specific advantages is still unclear.