IAROR - International Association of Railway Operations Research

Welcome to the homepage of the International Association of Railway Operations Research (IAROR)

Best papers at RailNorrköping2019

The board of IAROR have selected ten best papers presented at RailNorrköping 2019. These papers were invited to publish in a special issue of the Journal of Rail Transport Planning and Management.

The ten best papers are:

  1. Egidio Quaglietta, Meng Wang and Rob M.P. Goverde: A multi-state train-following model for the analysis of Virtual Coupling railway operations
  2. Yongqiu Zhu and Rob M.P. Goverde: Dynamic and robust timetable rescheduling for uncertain railway disruptions
  3. Gert-Jaap Polinder, Marie Schmidt and Dennis Huisman: A new approach to periodic railway timetabling
  4. Ambra Toletti, Marco Laumanns and Ulrich Weidmann: Coordinated railway traffic rescheduling with the Resource Conflict Graph model
  5. Sara Gestrelius, Anders Peterson and Martin Aronsson: Timetable quality from the perspective of an infrastructure manager in a deregulated market : a case study of Sweden
  6. Beda Büchel, Timothy Partl and Francesco Corman: The Disruption at Rastatt and its Effects on the Swiss Railway System
  7. Ralf Borndörfer, Niels Lindner and Sarah Roth: A Concurrent Approach to the Periodic Event Scheduling Problem
  8. Norman Weik, Jennifer Warg, Ingrid Johansson, Nils Nießen and Markus Bohlin: Extending UIC 406-based capacity analysis – New approaches for railway nodes and network effects
  9. Norman Weik and Nils Nießen: Quantifying the effects of variability on the capacity of rail corridors
  10. Sander Van Aken, Sofie Van Thielen and Pieter Vansteenwegen: Optimal Timetables in case of Temporarily Unavailable Tracks

We congratulate the authors of these papers!

Aims and scope of IAROR

The International Association of Railway Operations Research was founded on 8 June 2005 during the 1st International Seminar on Railway Operations Modeling and Analysis at Delft University of Technology and decided on the following mission statement:

IAROR combines the expertise of academic and professional railway research with the aim of:

  • enhancing the quality of service for railway passengers and customers
  • improving the effectiveness and efficiency of capacity management, timetabling, traffic management and
  • ensuring the safety of railway operations.

The revolutionary process of wide spread integration of artificial intelligence, computer science and telecommunications in the design of timetables, train detection and integrity, dispatching, signalling, interlocking, train control, traffic regulation, and ultimately automatic train operation creates great opportunities for increasing the capacity of railway infrastructure, optimising the use of rolling stock and making passenger and freight transport by rail more competitive.

IAROR stimulates innovative theoretical approaches, high-tech concepts, new technological developments and dynamic decision support systems that contribute to a higher flexibility, performance and punctuality of trains operating in heterogeneeous networks (lines and junctions). IAROR contributes to the development of new international standards for railway capacity and traffic management by integration of the state-of-the-art from different scientific disciplines as engineering, mathematics, physics, economics and computer science.

IAROR aims at becoming the Network of Excellence in the field of railway operations research and an acknowledged advisor to governments, railway infrastructure managers, train operating companies and the industrial suppliers with regard to the development and evaluation of research programs, innovation strategies, directives and norms for railway operations

International transfer of knowledge and co-operation will be strengthened by organising the International Seminar on Railway Operations Research (ISROR).