Train Trajectory Optimization Methods for Energy-Efficient Railway Operations

Doctoral thesis (2017)

Authors

P. Wang Transport and Planning - CEG
Research Group
Transport and Planning (CEG) (TU Delft)
Copyright: © 2017 P. Wang
DOI
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https://doi.org/10.4233/uuid:ce04a07d-89fc-470a-9d1a-b6fae9182dae
Genetic Algorithms Optimizing Train Trajectory Energy Efficiency
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Published Date

2017-12

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

Even though rail is more energy efficient than most other transport modes, the enhancement of energy efficiency is an important issue for railways to reduce their contributions to climate change further as well as to save costs and enlarge competition advantages involved. This thesis is motivated by the challenges in improving energy efficiency of train operations. The main objectives are to develop the modelling and solution methods for the train trajectory optimization problem to improve the model accuracy and the computation time, to apply the methods in a train driver advisory system development, and to develop a multi-train trajectory optimization method to solve the delay recovery and the energy-efficient timetabling problem.