@phdthesis{9e59cd4f06da4adfb3a10067bda2d34d,
title = "Energy-efficient Train Timetabling",
abstract = "Railways in Europe need to reduce CO2 emissions and energy usage to contribute to sustainability. One of the measures that railway undertakings can apply with low investment cost and both high reductions in CO2 emission and energy consumption, is energy-efficient train trajectory optimization. Another efficient measure is incorporating energy-efficiency in the timetable design. The aim of this thesis is to incorporate energy-efficient train trajectory optimization in the timetable design in order to improve the potential for energy-efficiency of railways. The thesis develops and applies models for the energy-efficient traincontrol problem for a single train over (multiple) stops with both mechanical and regenerative braking behavior. In addition, energy-efficient train trajectory optimization is incorporated in timetabling by formulating and developing algorithms for a multiple-objective optimization problem applied on a corridor with multiple interacting trains.",
keywords = "Train trajectory optimization, Energy-efficiency, Railway timetabling, Multiple-objective optimization",
author = "G.M. Scheepmaker",
note = "TRAIL Thesis Series no. T2022/1, the Netherlands TRAIL Research School ",
year = "2022",
doi = "10.4233/uuid:9e59cd4f-06da-4adf-b3a1-0067bda2d34d",
language = "English",
isbn = "978-90-5584-305-3",
series = "TRAIL Thesis Series",
publisher = "TRAIL Research School on Transport, Infrastructure and Logistics.",
number = "1",
type = "Dissertation (TU Delft)",
school = "Delft University of Technology",
}