This study focuses on the data gathered and processed by a large-scale aerial drone observation in the city of Munich, Germany, continuously for several hours a day and several days with all together twelve camera-equipped aerial drones. The aim was to generate a continuous data set including various interactions of different modes like manual and automated cars as well as active mobility users like pedestrians and cyclists. For this purpose, the urban area drone footage covers trajectories for all those traffic participants which were extracted from the video images and are merged continuously in time and space across several drone observation areas and subsequent time slots. The whole data set will be published open source to ensure global accessibility for further research.     «

This study focuses on the data gathered and processed by a large-scale aerial drone observation in the city of Munich, Germany, continuously for several hours a day and several days with all together twelve camera-equipped aerial drones. The aim was to generate a continuous data set including various interactions of different modes like manual and automated cars as well as active mobility users like pedestrians and cyclists. For this purpose, the urban area drone footage covers trajectories...     »