Impact of the Optimization the RAM of the Railway Optical Transmission Infrastructure on Reducing the Line Blockage

Document Type : Research Paper

Authors

1 consultant of railway company

2 Deen of Islamic Azad University- Yadegar-e-Imam Khomeini (RAH) Share Rey

3 Associate Professor, Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

The safe movement of the rail rolling stock is not possible without train control systems. Train control systems ensure safety somehow and they play a vital role in increasing the speed and the capacity of the transport; So that, the failure of the whole or part of it can cause safety disruption, reduce productivity and increase line blockage. Due to the fact that all train control telecommunication services are based on optical transmission networks, the interruption of these networks will cause the interruption of all train control services and as a result, the line will be blocked. Therefore, evaluating and improving the sustainability of the optical transmission infrastructure is essential. In this research, in order to predict the number of the blockages due to the disruption of the transmission infrastructure, the rail transmission network is evaluated in two stages. In the first stage, the parameters of Availability, Reliability and Maintenance (RAM) of the railway transmission network are evaluated, and are simulated using the Monte Carlo method. In the second phase, the RAM mechanism is simulated again by implementing a network failure repair reduction model. In both stages, the probability of the shutdown of the railway telecommunication network, the numbers of blocked lines have been obtained. Predicting the number of network outages and rail line blockages due to the interruption of train control services has been conducted for the first time in research. The results of this study showed that a 10% reduction in network repair time led to a three-and-a-half-fold increase in RAM levels and a 70% reduction in line blockage. These results will be of great value in increasing system efficiency as well as the satisfaction of the users.

Keywords


Antova, M. 2013 “The introduction of common safety methods”. IEEE International Conference on Railway Safety Assurance: Management and Method in a Safe Network, UK, March 20.
Bourne, A. J. 1989 “Book review: Advances in reliability technology symposium”. Int. J.  Elec. Eng. Educ. 26(4): 376-376. 
Brémaud, P. 2020. “Markov chains: Gibbs fields, Monte Carlo simulation and queues”. Springer International Publishing.
Calixto, E. 2016. “Chapter 4- Reliability, availability, and maintainability (RAM analysis), modeling and analysis”. Elsevier books.
Carretero, J., Perez, J. M., Garcia-Carballeira, F., Calderón, A., Fernández, J., D. Garcı́a, J., Lozano, A., Cardona, L., Cotaina, N. and Prete, P. 2003.  “Applying RCM in large scale systems: A case study with railway networks”. Reliab. Eng. Syst. Safe., 82(3): 257-273. 
Chen, L., Tang, T., Zhao, X. and Schnieder, E. 2012. “Verification of the safety communication protocol in train control system using colored petri net”. Reliab. Eng. Syst. Safe., 100: 8-18. 
Dhillon, B. S. 1999. “Design reliability: Fundamentals and applications”. University of Ottawa, Ontario, Canada.
Dialynas, E. N. 1992. “Book review: 11th advances in reliability technology symposium”. Int. J.  Elec. Eng. Educ., 29(2): 132-132.
Durazo-Cardenas, I., Starr, A., Turner, C., Tiwari, A., Kirkwood, L., Bevilacqua, M., Tsourdos, A., Shehab, E., Baguley, P., Yu, C. and Emmanouilidis, C. 2018. “An autonomous system for maintenance scheduling data-rich complex infrastructure: Fusing the railways’ condition, planning and cost”. Transport. Res. C: Emerg. Technol., 89: 234-253.
Durga Rao, K., Gopika, V. and Srividya, A.  2017 “Reliability and advances in RAMS engineering E book”. Springer, Cham, Switzerland.
Figiel, K. D. and Sule, D. R. 1990 “A generalized reliability block diagram (RBD) simulation”. IEEE Simulation Conference Proceedings, USA, Dec. 9-12.
Fishman, G. 2013. “Monte Carlo: Concepts, algorithms, and applications”. Springer Science & Business Media.
Ghazi Maghrebi, S., Yazdani, M. and Hajizadeh, F. 2019. “Examining liberalization of Iranian railway communication service”. IEEE International Symposium on Networks, Computers and Communications (ISNCC), Turkey, June 27-28.
Goya, J., De Miguel, G., Arrizabalaga, S., Zamora-Cadenas, L., Adin, I. and Mendizabal, J. 2018. “Methodology and key performance indicators (KPIs) for railway on-board positioning systems”. IEEE Trans. Intel. Transport. Syst., 19: 4035-4042.
Guo, H. and Yang, X. 2007. “A simple reliability block diagram method for safety integrity verification”. Reliab. Eng. Syst. Safe., 92: 1267-1273.
Jafarnejad, A. and Esmaeelian, M. 2011. “Reliability and maintenance management”. University Books Study and Printing Organization, Tehran.
Karanki, D. R., Vinod, G. and Srividya, A. 2020. “Advances in RAMS Engineering”. Springer Nature, Switzerland.
Khodayi, A., Yazdani, M. and Hajizadeh, F. 2018. “The liberation of rail telecommunication services”. Iranian Railways Training and Research Center.
Kumar, S. 2008. “Reliability analysis and cost modeling of degrading systems”. Luleå University of Technology, Division of Operation and Maintenance Engineering. 
Liem, M. and Mendiratta, V. B. 2011. “Mission critical communication networks for railways”. Bell Labs Tech. J., 16: 29-46.
Lin, J. T. and Dang, J. W. 2012. “Reliability models of GSM-R redundant network on high-speed railway”.  Appl. Mech. Mater., 198-199: 1783-1788.
Lin, S., Fang, X., Lin, F., Yang, Z. and Wang, X.  2018. “Reliability of rail transit traction drive system-A review”. Microelectron. Reliab., 88-90: 1281-1285.
Macchi, M., Garetti, M., Centrone, D., Fumagalli, L. and Piero Pavirani, G. 2012. “Maintenance management of railway infrastructures based on reliability analysis”. Reliab. Eng. Syst. Safe., 104: 71-83.
Min, Y., Chunhui, Y. and Sen, Z. 2013. “Reliability model for control center of railway signalling system based on SRN”. IEEE Fourth International Conference on Digital Manufacturing & Automation, China, June 29-30.
Nick Holmes, M. 2013 “Safety acceptance for whole-railway projects understanding the real safety acceptance challenge”. IEEE ET Seminar on Railway Safety Assurance: Management and Method in a Safe Network, London, UK, March 20.
Olivieri, J. 2015. “Modeling multiple preventative maintenance actions in a RAMS analysis”. IEEE Conference, USA, May 11.
Panda, Ch., Patro, S. and Gantayat, P. K. 2012. “Link reliability in WDM optical network”. Indian J. Comput. Sci. Eng., 3(1): 126-132.
Pham, H. 2003. “Handbook of reliability engineering”. Springer, London, UK.
Pinhel, A., Filho, A. A. S., Landi, R. P. and Alves, D. G. 2018. “Matching cyber security with reliability and maintainability: An example on power systems for data networks”. IEEE Annual Reliability and Maintainability Symposium (RAMS), USA, Jan. 22-25.
Rubinstein, R. Y. and Kroese, D. P. 2016. “Simulation and the Monte Carlo method”. John Wiley & Sons, Inc., New Jersey.
Saraswat, S. and Yadava, G. S. 2008. “An overview on reliability, availability, maintainability and supportability (RAMS) engineering”. Int. J. Qual. Reliab. Manage., 25: 330-344.
Sayed, A., Shimy, M., Metwally, M. and lshahed, M. 2019 “Reliability, availability and maintainability analysis for grid-connected solar photovoltaic systems”. MDPI J., 12: 1-18.
Smith, D. 2017. “Reliability, maintainability and risk”. Elsevier Ebook, 9th Edition.
Waqar, H. and Pervez, Q. 2017. “Reliability modeling and analysis of communication networks”, J. Netw. Comput. Appl., 78: 191-215.
Woo, S. 2020. “Reliability design of mechanical systems”. Springer, Cham.
Yazdani, M. 2014. “Signaling and communication in the railway from yesterday to tomorrow”. The Iranian Railway Training and Research Center.