Abstract
A signaling system is a safety-critical part of railways. Most of the railway signaling systems currently used today are intelligent and automatic high-performance systems, for which the high level of reliability is required. However, there are many factors including those uncertainties that affect system reliability performance. In this paper, fuzzy analytical hierarchy process is further developed by using hierarchical structure to determine weights of contributions of each factor and subfactor to the reliability performance of the system. By using the proposed methodology, the results of reliability analysis indicate that the reliability of a signaling system can be assessed effectively and efficiently.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhou L, Shen Z (2011) Progress in high-speed train technology around the world. J Mod Transp 19(1):1–6
An M, Chen Y, Baker CJ (2011) A fuzzy reasoning and fuzzy-analytical hierarchy process based approach to the process of railway risk information: a railway risk management system. Inf Sci 181:3946–3966
Miee CE. EMC issues in advanced signaling transmission based train control systems. The IET, Michael Faraday House, Six Hills Way, Stevenage, Herts SG1 2AY, UK
Zhang G, Zhu N, Tian Z, Chen Y, Sun B (2012). Application of trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Saf Sci 50:228–239
An M, Lin W, Stirling A (2006) Fuzzy-based-approach to qualitative railway risk assessment. Proc IMechE Part F: J Rail Rapid Transit 220:153–167
Ardente F, Beccali M, Cellura M (2004) A fuzzy software for the energy and environmental balances of products. Ecol Model 176:359–379
Zadeh LA (1965) Fuzzy Sets. Inf Control 8:338–353
Timothy RJ (2010) Fuzzy logic with engineering applications (3rd ed). Wiley
Tesfamariam S, Sadiq R (2006) Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP). Stoch Environ Res Risk Assess 21:35–50
Chang T, Wang TC (2009) Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management. Inf Sci 179(4):355–370
Chang DY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95:649–655
Veerabathiran R (2012) Applications of the extent analysis method on fuzzy AHP. Int J Eng Sci Technol 4(7):3472–3480
Vernez D, Vuille F (2009) A method to assess and optimise dependability of complex macro-systems: application to a railway signalling system. Saf Sci 47:382–394
EN 50129 (2002) Railway applications: communication, signaling and processing systems—safety related electronic systems for signaling
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, H., An, M. (2014). Analysis of Related Factors Influencing Reliability of Railway Signaling Systems Based on Fuzzy Analytical Hierarchy Process. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume II. Lecture Notes in Electrical Engineering, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53751-6_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-53751-6_35
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53750-9
Online ISBN: 978-3-642-53751-6
eBook Packages: EngineeringEngineering (R0)