Standard Formulation of data in Interlocking System by RailML Method (Case Study: Zavaraeh Station in Tehran- Bafgh Corridor)

Document Type : Original Article

Authors

1 Associate Professor- School of Railway Engineering, Iran University of Science & Technology

2 M.Sc., Grad. School of Railway Engineering, Iran University of Science & Technology, Tehran, Iran.

Abstract

In the rail industry, in order to reduce the cost of engineering of interlocking systems, there is a need to simplify the exchange of technical information between shareholders. RailML is an open source IT tool designed to standardize the exchange of data in various rail processes. Lack of standards for data structures and protocols requires the design and maintenance of several interfaces between applications. This approach is inefficient, time consuming and costly. Different requirements and new Interlocking areas impede the complete automation of the engineering design chain. RailML is based on markup language and uses the XML schema to define a new data exchange structure for data interchange between railway applications. In this paper, the RailML Standard markup language is used as the basis and exchange format for formulating the safe routes of the Tehran-Bafgh corridor in Zvaareh station. It can be used to formulate its safe pathways in design and testing.

Keywords


-B. Luteberget and C. Johansen, (2017), “Efficient verification of railway infrastructure designs against standard regulations,” Form. Methods Syst. Des., No. 1.
 
 -B. Luteberget, C. Johansen, and M. Steffen,  (2016), “Rule-based Consistency Checking of Railway Infrastructure Designs.
-C.­Republic,  (2016), “Traffic Management System In Terms Of Data 2 . Architecture of Management Process,” pp. 26–28.
 
-D. Zentrum, (2016), “AIM Data Services,” Vol. 73, pp. 1–9.
F. List, M. Lehmann, T. Albrecht, and T. K. A. De, )2008(.
 
-G. Geng and L. X. Li, (2001), “Scheduling railway freight cars,” Vol. 14, pp. 289–297.
 
-H. I. N. Radom, (2017), “Transport System Telematics Rail­Topo­Model and RailML – data exchange standards in railway sector,” Vol. 10,
pp. 10–15.
 
-H. Stadtler, (2005),“Supply chain management and advanced planning basics­, overview and challenges,” Vol. 163, pp. 575–588.
 
- K. Gerlach and M. Meyer, (2009), “A Precise Digital Map for GALILEO-Based Train Positioning Systems,” pp. 343–347.
 
-M. Banci and A. Fantechi, (2005), “Geographical Versus Functional Modelling by Statecharts of Interlocking Systems,” Vol. 133, pp. 3–19.
 
-P. K. Arjun, M. Mythily, and M. L. Valarmathi, (2013), “Development of a Secure XML Data Warehouse : A Practical Approach,” Vol. 3, No. 12, pp. 1–5.
 
       -S. E. Step-by-step, R. History, and C. Rahmig,  (2017), “RailML  v3 Tutorial Simple Example
Step-by-Step,” pp. 1–37.
-T. Report, M. Til, and M. Bosschaart, (2013),“Lean Engineering Design of Rail Interlocking Systems with RailML”.
 
-T. Stein, (2012), “INESS System Design (­EURDI­),”
 No. March, pp. 1–74.