Publications

Welcome to our publications page! Below you will find a selection of publications related to railML® and its applications, sorted by date. These works are organised into three categories: Professional articles, Press releases and Scientific papers.

  • Professional articles are published in various scientific and technical journals and offer expert insights and developments in the field of railML and railway data.

  • Press releases highlight railML.org's participation in conferences and workshops with the latest advancements and projects presented to the community.

  • Scientific papers encompass research papers authored by students and researchers from the University and various project papers/reports related to railML.

Modellprinzipien des RailTopoModel

Author: Dipl.-Ing. Susanne Wunsch (TU Dresden, Germany)
Author: Dipl.-Inf. Birgit Jaekel (TU Dresden, Germany)

Published: March 2017
Periodical:
Der Eisenbahningenieur
Language: German

Datenformate, -modelle und -konzepte für den Eisenbahnbetrieb

Author: Dipl.-Ing. Susanne Wunsch (TU Dresden, Germany)
Author: Dr.-Ing. Martin Lehnert (TU Dresden, Germany)
Author: Prof. Dr.-Ing. Jürgen Krimmling (TU Dresden, Germany)
Author: Dr. John Easton (University of Birmingham, United Kingdom)

Published: November 2016
Periodical:
Der Eisenbahningenieur
Language:
German

Logo "Signal & Draht" at Eurailpress Hamburg

Beschreibung von Eisenbahninfrastrukturen mit railML und ihre Verifikation

Author: Prof. Dr.-Ing. Norbert Luttenberger (Christian-Albrechts-Universität zu Kiel)
Author: M.Sc. Michael Lodemann (Christian-Albrechts-Universität zu Kiel)
Author: Dr. Carsten Gerke (Funkwerk Information Technologies GmbH, Kiel)

Published: April 2010
Periodical:
Signal & Draht
Language:
German

Logo "Der Eisenbahningenieur" at Eurailpress Hamburg

Einheitliche Datenhaltung für ESTW

Author: Dr.-Ing. Ulrich Maschek

Published: 02/2004
Periodical: Signal & Draht
Language:
German

railML - ein generelles Austauschformat für Eisenbahndaten

Author: Dr. sc. techn. Daniel Hürlimann (ETH Zürich, Switzerland)

Published: 10/2003
Periodical: DVWG
Language:
German

22.11.2011  Press release on the occasion of the 20th railML conference (Karlsruhe/Germany) and the release of the VISUM-railML-interface
Petra Gust-Kazakos (Corporate Communications, PTV AG)
Katrin Purtak (Press officer, railML-Consortium)

19.10.2010 Press release on the occasion of the 18th railML-Konferenz in Berlin
Annette Weisser (Unternehmenskommunikation, IVU Traffic Technologies AG)
Katrin Purtak (Pressesprecherin, railML-Konsortium)

Project Paper/Report

XML-basiertes Schema zur Darstellung sicherungstechnischer Streckenausruestung in einem Fahrsimulator

Author: Mark Bosschaart (TU Delft)
Author: Prof.dr.ir. L.A. Tavasszy (TU Delft)
Author: Dr. R.M.P. Goverde (TU Delft)
Author: Dr.ir. E. Quaglietta (TU Delft)
Author: Dr. W.W.A. Beelaerts van Blokland (TU Delft)
Author: Dr.ir. B.J.R. Janssen (Siemens & railML)

Published: 01.10.2013
Language: English

INESS - Integrated European Signalling System

Author: Tom Stein (Bombardier)
Author: Carsten Gerke (Funkwerk IT)
Author:
Emmanuel Buseyne (UIC)
Author:
George Barbu (Project Coordinator, UIC)
Author:
Javier Vicente Fajardo (ADIF)

Published: 30.04.2012
Language: English

The INESS project aims to improve data transfer between infrastructure design systems and interlocking design systems for railway infrastructure managers and suppliers. It focuses on using existing data models to digitally describe interlockings, selecting the most suitable model based on a set of requirements and evaluating its weaknesses. The project involves comparing state-of-the-art data models, defining requirements for the EUDRI data model and testing the chosen model with suppliers and railways.

railML® – A standard data interface for railroad applications

Author: Dr. Daniel Huerlimann & Andrew Nash (ETH Zürich)
Author: Vasco Paul Krauß & Prof. Jörg Schütte (Fraunhofer-IVI)

Published: 09.01.2004
Language: English

Research Paper/Thesis

Tratamiento de datos de instalaciones de control de trenes mediante railML

Author: Alberto Burguillo Ruiz (Universidad Politécnica de Madrid)
Author: L.D. Prof. Contr. Doct. Juan de Dios Sanz Bobis (Universidad Politécnica de Madrid) 

Date: 01.11.2018
Language: Spanish

It is well known that railway control is a highly complex task requiring skills and, above all, information at a high level of detail and accuracy. However, nowadays, this information is shared by printed media or in formats that do not allow neither editing nor obtaining this data in a more useful format in a quick and efficient way. For this reason, initiatives such as railML.org ® have arisen, as well as other initiatives that try to make this step towards the digitisation of data and its possible processing possible. The Bachelor Thesis gives an overview about the content of railML® in Spanish language.

Comparative Analysis of Building Information Modelling (BIM) and RailTopoModel/railML in View of their Application to Operationally Relevant Railway Infrastructure

Author: Vivian Augele (TU Dresden)

Date: 23.01.2017
Language: English

This paper focuses on a general analysis of RailTopoModel/railML and the openBIM model and data exchange format IFC (Industry Foundation Classes). The paper is a first overview and does not address a detailed technical comparison.

Vergleichende Analyse von NeTEx und railML zur Bereitstellung von intermodalen Fahrgastinformationen

Author: Jessica Pöpping (TU Dresden)

Published: 03.03.2015
Language: German

This paper focuses on an analysis and comparison of railML and the NeTEx (Network and Timetable Exchange) data standard in the context of intermodal passenger information.

Lean Engineering Design of Rail Interlocking Systems with railML

Author: Martin Lehmann (TU Dresden)
Author: Thomas Albrecht (TU Dresden)

Date: 18.12.2008
Language: English

Poster

If you are keen on railML and have related papers to share or are interested in writing one, we encourage you to contact railML.org. We welcome contributions from researchers, developers and enthusiasts who want to further the development and application of railML in the rail data industry.