Journal ArticleDOI
Analysing stability and investments in railway networks using advanced evolutionary algorithms
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In this paper, the authors consider a network of periodically running railway lines and derive a cost-benefit analysis of investments, where the benefit is measured in reduced waiting time for passengers changing lines.About:
This article is published in International Transactions in Operational Research.The article was published on 2004-07-01. It has received 29 citations till now. The article focuses on the topics: Queueing theory.read more
Citations
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Journal ArticleDOI
Developing railway timetables which guarantee a better service
TL;DR: In this paper, a waiting cost function, weighting different types of waiting times and late arrivals, is designed and minimised for a small part of the Belgian railway network to improve passenger service.
Journal ArticleDOI
Computing delay resistant railway timetables
TL;DR: The first computational study which aims at computing delay resistant periodic timetables is provided and results suggest that a significant decrease of passenger delays can be obtained at a relatively small price of robustness, i.e. by increasing the nominal travel times of the passengers.
Book ChapterDOI
The modeling power of the periodic event scheduling problem: railway timetables-and beyond
TL;DR: In the planning process of railway companies, it is proposed to integrate important decisions of network planning, line planning, and vehicle scheduling into the task of periodic timetabling, and it is shown that the PESP has to be extended by only two features, namely a linear objective function and a symmetry requirement.
Journal ArticleDOI
Decreasing the passenger waiting time for an intercity rail network
TL;DR: In this paper, the authors proposed an approach to improve the robustness of timetables for a network of passenger train services by minimizing a waiting cost function that includes running time supplements and different types of waiting times and late arrivals.
Journal ArticleDOI
Stability evaluation of a railway timetable at station level
TL;DR: In this article, a decision support software is developed to evaluate the capacity of a rail junction or station, based on a timetable optimization model, as well as timetable evaluation modules, which uses an original method based on delay propagation and using shortest path problem resolution.
References
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Proceedings Article
Genetic algorithms for multi-objective optimization: formulation, discussion, and generalization
C M Fonseca,P J Fleming +1 more
Proceedings ArticleDOI
Multi-objective genetic local search algorithm
Hisao Ishibuchi,Tadahiko Murata +1 more
TL;DR: The aim of the proposed algorithm is not to determine a single final solution but to try to find all the non-dominated solutions of a multi-objective optimization problem.
Journal ArticleDOI
Some new results on simulated annealing applied to the job shop scheduling problem
TL;DR: A new approach is presented that uses a small population of SA runs in a genetic algorithm (GA) framework and yields excellent results on the classical test examples of the JSP.
Journal ArticleDOI
Periodic network optimization with different arc frequencies
TL;DR: This work introduces “perioidic networks”, a mathematical model to deal with fixed time interal served railway system problems, and forms the optimization task to find timetables which minimize a global objective depending on all local waiting times.