• Vol 1, No 1 (2010)
  • Civil Engineering

Evaluating Track Geometrical Quality through Different Methodologies

Abdur Rohim Boy Berawi, Raimundo Delgado, Rui Calçada, Cecilia Vale

Corresponding email: boy_berawi@yahoo.com

Published at : 17 Jan 2014
IJtech : IJtech Vol 1, No 1 (2010)
DOI : https://doi.org/10.14716/ijtech.v1i1.35

Cite this article as:
Berawi, A.R.B., Delgado, R., Calçada, R., Vale, C., 2010. Evaluating Track Geometrical Quality through Different Methodologies. International Journal of Technology. Volume 1(1), pp. 38-47

Abdur Rohim Boy Berawi Transportation System, MIT - Portugal Program, University of Porto, Rua Dr. Roberto Frias, s/n 4200-465 Porto, Portugal
Raimundo Delgado Department of Civil Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n 4200-465 Porto, Portugal
Rui Calçada Department of Civil Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n 4200-465 Porto, Portugal
Cecilia Vale Department of Civil Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n 4200-465 Porto, Portugal
Email to Corresponding Author


The implementation of High Speed Railway (HSR) networks involves a large amount of financial support imposing, not only at the conception and design level, but also during the line operation, a demanding, a complete, and a rigorous estimation of the total cost involved in the life cycle of the system. By using appropriate tools for estimating HSR life cycle costs (LCC), it is possible to minimize the final cost and, at the same time, to identify the most important aspects and parameters influencing the cost evaluation. Research, therefore, is not only required on the LCC modeling, but also on the estimation of major degradation factors and in the assessment of its impact on the maintenance needs. This paper deals with this former aspect. The various methodologies for evaluating the geometrical track quality are presented and compared to each other, namely the J Synthetic Coefficient, the Indian TGI and also the approach presented in the European Standard EN 13848-5. In order to compare these three methodologies, they are applied to a railway stretch of the Portuguese Northern Railway Line. By doing so, the prediction of track degradation rate within the period of research can be determined, which possibly is used in the future for defining cost-effective maintenance strategies.

Maintenance optimization, Regression analysis, Track degradation model, Track geometry, Track quality index


Bing, A. J. & Gross, A., 1983. Development of railway track degradation models. Transportation Research Record 939, pp.27-31.

CEN, 2005. Railway applications -Track- Track geometry quality - Part 5: Geometric quality assessment; German version prEN 13848-5:2005

El-Sibaie, M. & Zhang, Y., 2004. Objective Track Quality Indices. Proceedings of 83rd TRB Annual Meeting, Washington, D.C.

Ferreira, L. & Murray, M., 1997. Modelling rail track deterioration and maintenance current practices and future needs. Transport Reviews, 17, pp.207-221.

Fortunato, E., Pinelo, A., Lobo Costa, J., Gonçalves, D. & Pratas, A., 2007. Some results of performance indicators of a railway track obtained during its renewal process. 4th International SIIV Congress-Palermo, Italy.

Iran Ministry of Roads and Transportation (IMRT), 2005. Railway track superstructure general technical specification Standard no. 301. Iran: IMRT Ministry Publication Service.

Jianmin, Z., 2007. Modelling and optimizing track maintenance and renewal. Phd Thesis, Civil Engineering Department, University of Birmingham.

Madejski, J. & Grabczyk, J., 2002. Continuous geometry measurement for diagnostics of tracks and switches. Proceedings of the International Conference on Switches Delft University of Technology, Delft, The Netherlands.

Sadeghi, J. & Askarinejad, H., 2007. Influences of track structure, geometry and traffic parameters on railway deterioration. International Journal of Engineering, Volume 20, No.

Sadeghi, J. & Askarinejad, H., 2008. Development of Improved Railway Track Degradation Models. International Journal of Structure and infrastructure Engineering, Vol.3, Issue 4.

Sadeghi, J. & Askarinejad, H., 2009. Investigation on effect of track structural conditions on railway track geometry deviations. Proceeding of the institution of mechanical engineers, Part F, Journal of rail and rapid transit.

Sato, Y., 1995. Japanese studies on deterioration of ballasted track. Vehicle System Dynamic, vol.24, pp.197-208.

Talukdar, K., Arulmozhi, U., Prabhakar, K. & Satyanarayan, 2006. Project Presentation Improvement of TGI Value by Computer Analysis. Ministry of Railways Indian Railways Institute of Civil Engineering, India.

Zhang, J., Murray, H. & Ferreira, L., 1999. An Integrated Model for Track Degradation Prediction. World Transport Research: Selected Proceedings of the 8th World Conference on Transport Research, vol.3, pp.527-539.