Robustness for a single railway line: Analytical and simulation methods

Authors:
Miguel A. Salido;Federico Barber;Laura Ingolotti
Affiliations:
Universidad Politecnica de Valencia, Valencia, Spain;Universidad Politecnica de Valencia, Valencia, Spain;Universidad Politecnica de Valencia, Valencia, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 14
Cited 0

Just-in-case scheduling

AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
The use of simulation in the planning of the Dutch railway services

Proceedings of the 30th conference on Winter simulation
Supermodels and robustness

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Simone: large scale train network simulations

Proceedings of the 33nd conference on Winter simulation
The Price of Robustness

Operations Research
From precedence constraint posting to partial order schedules: A CSP approach to Robust Scheduling

AI Communications - Constraint Programming for Planning and Scheduling
Solve-and-robustify

Journal of Scheduling
Fast Approaches to Improve the Robustness of a Railway Timetable

Transportation Science
Computing delay resistant railway timetables

Computers and Operations Research
A Lagrangian heuristic algorithm for a real-world train timetabling problem

Discrete Applied Mathematics - Special issue: IV ALIO/EURO workshop on applied combinatorial optimization
Intelligent timetable evaluation using fuzzy AHP

Expert Systems with Applications: An International Journal
Recoverable Robust Timetables: An Algorithmic Approach on Trees

IEEE Transactions on Computers
Train service timetabling in railway open markets by particle swarm optimisation

Expert Systems with Applications: An International Journal
An ontology-driven decision support system for high-performance and cost-optimized design of complex railway portal frames

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

Railway scheduling has been a significant issue in the railway industry. Over the last few years, numerous approaches and tools have been developed to compute railway scheduling. However, robust solutions are necessary to absorb short disruptions. In this paper, we present the robustness problem from the point of view of railway operators and we propose analytical and simulation methods to measure robustness in a single railway line. In the analytical approach, we have developed some formulas to measure robustness based on the study of railway line infrastructure topology and buffer times. In the simulation approach, we have developed a software tool to assess the robustness for a given schedule. These methods have been inserted in MOM (More information can be found at the MOM web page http://www.dsic.upv.es/users/ia/gps/MOM), which is a project in collaboration with the Spanish Railway Infrastructure Manager (ADIF).