  Ride-hailing services enjoy a large popularity in the sector of
individualized mobility. Due to broad availability, ease of use, and
competitive pricing strategies, these services have established themselves
throughout the last decades. With the increased popularity, ride-hailing
providers aimed to consistently improve the efficiency of their services,
leading to the inception of novel research questions. Many of which can be
effectively tackled using simulation. In this paper, we present such a
simulation-based approach using Eclipse MOSAIC in-hand with a large-scale
traffic scenario of Berlin. We analyze real-world logbook data including
detailed shifts of drivers and discuss how to integrate them with the
simulation scenario. Moreover, we present extensions to MOSAIC required for the
modeling of the ride-hailing services, utilizing the powerful Application
Simulator. Accordingly, as the primary result of this paper, we managed to
extend the Eclipse MOSAIC framework to be able to answer research questions in
the domain of ride-hailing and ride-sharing. Additionally, in an initial
exemplary study, we analyze the traffic and environmental impacts of different,
yet basic, rebalancing strategies, finding non-negligible differences in
mileages and pollutant emissions. We, furthermore, applied our findings to the
entire ride-hailing fleet in the city of Berlin for one year, showcasing the
impacts different rebalancing strategies could have on environment and general
traffic. To our knowledge, the consideration of environmental factors on a
city-wide scale is a novel contribution of this paper, not addressed in
previous research.
