Spread-based Stochastic High Frequency Railway Optimization

Master thesis (2020)

Authors

D.J. van Rooijen Mechanical Engineering

Contributors

P. Mohajerin Esfahani Team Tamas Keviczky - Mechanical, Maritime and Materials Engineering (mentor)
S. Hassan HosseinNia Mechatronic Systems Design - Mechanical, Maritime and Materials Engineering (graduation committee member)
Faculty
Mechanical Engineering, Mechanical Engineering
Copyright: © 2020 Dennis van Rooijen
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Published Date

12-10-2020

Language

English

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Faculty

Mechanical Engineering

Abstract

This paper outlines a mathematical model for the creation of a robust timetable for the optimization of the lightrail network in Rotterdam and The Hague. A novel spread-based goal function focuses on minimizing wait time as opposed to delay. The situation is modeled as a Quadratic Stochastic Programming problem, and solved by employing Monte Carlo techniques to make the Quadratic Program deterministic. The solution informs what the optimal rate of train departures per hour is and provides a timetable that has over 120% more train capacity than the status quo, which has a higher delay resistance than the current timetable. For the inevitable unpredicted delay, a real-time implementation of this algorithm is used dynamically to create a new optimal timetable on the fly.