The aim of this thesis is to develop design principles for energy-efficient train timetables by considering the total running time and the robustness of the timetable. The aim of an Energy-Efficient Train Timetable (EETT) is to compute a timetable for trains running between different stops that maximizes the potential of energy-efficient driving by using energy-efficient train control (EETC). EETC is an optimal control problem with the aim of finding the driving strategy or trajectory that meets the timetable with the least amount of energy consumption. We developed different models to compute the EETC and EETT. First, a multiple-phase pseudospectral optimal train control model called PROMO (PseudospectRal Optimal train control MOdel) is developed that computes the energy-efficient driving strategy between two stops. We use the MATLAB toolbox GPOPS to compute the EETC with PROMO. Second, PROMO is extended over multiple-stops in order to compute the optimal distribution of the running time supplements. Finally, we extended PROMO in such a way that it computes the EETT for two following trains on microscopic level by using the blocking time theory.

Results from EETT

People involved