A capacity-effective scheduling approach for virtual coupling train operations

Master Thesis (2022)
Author(s)

R. Miao (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Egidio Quaglietta – Mentor (TU Delft - Transport and Planning)

N Bešinović – Mentor (TU Delft - Transport and Planning)

Ton van den Boom – Mentor (TU Delft - Team Ton van den Boom)

R.M.P. Goverde – Mentor (TU Delft - Transport and Planning)

Faculty
Civil Engineering & Geosciences
Copyright
© 2022 Rui Miao
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Rui Miao
Graduation Date
23-02-2022
Awarding Institution
Delft University of Technology
Programme
['Transport, Infrastructure and Logistics']
Faculty
Civil Engineering & Geosciences
Reuse Rights

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Abstract

As the demand for the railways is expected to raise in the future, researchers are looking for ways to improve the railway capacity to increase the transport ability. Virtual coupling is a new solution based on the moving block technology, which further shortens train separation from absolute braking distance to relative braking distance. This will also affect the train service schedules for optimal operation under virtual coupling. In this study, a mixed integer quadratic programming method has been proposed to schedule the train services under virtual coupling on a network. Train operation as well as the headway and capacity benefit have been analyzed. In comparison to moving block, virtual coupling will change train operation on shared routes, and the capacity will be improved by different percentages for different timetable patterns and different service braking rates with or without speed limit restrictions.

Files

Thesis_20220115_1_.pdf
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