Hilbring, D.D.HilbringTitzschkau, T.T.TitzschkauBuchmann, A.A.BuchmannBonn, G.G.BonnWenzel, F.F.WenzelHohnecker, E.E.Hohnecker2022-03-042022-03-042014https://publica.fraunhofer.de/handle/publica/23521010.1007/s11069-010-9609-3This paper analyzes the potential of earthquake early-warning systems for transport lines. The interdisciplinary work focuses on rapidly producing an alert map during an ongoing earthquake as well as providing a damage map immediately after the strong-motion phase that visualizes potential damages to the railway infrastructure. In order to meet these application requirements, a service-oriented architecture based on geospatial standards is specified. This ensures the portability of the system architecture to different geographic regions as well as a potential transfer to other natural disasters and infrastructure systems. The first part of the paper describes the standard-based services of the system architecture together with design principles that are useful for the realization of early-warning systems. In the second part of the paper, an online demonstrator for the exemplary test area in the federal state of Baden-Württemberg, Germany, is presented. The system architecture of the demonstrator includes an earthquake early-warning methodology based on artificial neural networks and an infrastructure-specific damage assessment. The third part of the paper analyzes the potential of implementing low-cost sensors in the track, which would provide a dense network directly at the railway infrastructure.enearthquake early warningservice-oriented architectureartificial neural networknoise modelhazard and vulnerability analysis for railway linesZsIF004670550journal article