Jahn, CarlosCarlosJahnScheidweiler, TinaTinaScheidweiler2023-08-022023-08-022018In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Cham. (LDIC 2018). - Seite 172-177978-3-319-74225-0https://hdl.handle.net/11420/42471Ships’ estimated arrival times command an optimized port call and thus the heartbeat of every sea port. Various factors influence the waiting times of vessels at anchorage. Occupied berths or tide dependencies are just some of the factors leading to long waiting times before entering the port. Terminal operators cannot allocate the berths efficiently and hinterland transports cannot plan ahead due to the often times incorrect information regarding vessels’ time of arrival. To reduce these problems with regard to an optimized port call, a prediction model for the maritime traffic situation in the German North and Baltic Sea is developed to determine future ship positions and, in particular, arrival times. Within this paper, the accelerated research project as well as its benefits for port call optimization are presented.enGerman SeaportsHinterland TransportPort CallsTidal DependenceTrip SegmentsBook part10.1007/978-3-319-74225-0_23Other