In the future, the demand in public railway transport will further increase. Automated scheduling of railway network traffic is one key element in the Smartrail 4.0 concept form SBB to provide reliable and sufficient services to their customers. Research in context of the thesis concerns the study of general scheduling problems and the design of appropriate fast solution algorithms to contribute to the development of automated scheduling systems in the context of Smartrail 4.0.
Prof. Dr. Francesco Corman, Florin Leutwiler
Institute for Transport Planning and Systems, ETH Zürich
06.2018 (48 months)