Abstract
Indian Railways (IR) is one of the sources of technical growth, economic growth, and development progress in India. Its safety is not just a part of national concern but also brings the responsibility and challenges for the researcher of this country to optimize the safety using some meaningful tools. It has been observed that researchers have done analysis to provide the security/safety measure but which factor impacts the analysis most has not been assessed. Therefore, in this paper an effort has been made to analyze the causes of rail accidents occurred during the period from 2002 to 2015 using the concept of statistical tools. The concept of factor analysis has been used to select the major factor that may cause the railway accidents in the future and the least square-based method has been used to predict the number of people who might be killed in the forthcoming year due to rail accident.
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References
Jian-hua Q, Lin-sheng L, Jing-gang Z (2008) Design of rail surface crack detecting system based on linear CCD sensor. In: IEEE international conference on networking sensing and control
Vijayakumar K, Wylie SR, Cullen JD, Wright CC, AIShamma’a AI (2009) Non invasive rail track detection system using Microwave sensor. J Appl Phys
Cacciola M, Megali G, Pellicanµo G, Calcagno S, Versaci M, Morabito FC (2010) Rotating electromagnetic field for crack detection in railway tracks. PIERS ONLINE 6(3)
Wojnarowski RJ, Welles IKB, Kornrumpf, WP. Electromagnetic system for railroad track crack detection and traction enhancement. US Patent 6,262,573. www.patentstorm.us/patents/6262573/description.html
Tranverse crack detection in rail head using low frequency eddy currents. Patent US 6,768,298. www.google.com/patents/US6768298
Polivka AL, Matheson WL (2014) Automatic train control system and method. US Patent 5,828,979, 27 October 2014
Palmer SB, Dixon S, Edwards RS, Jian X. Transverse and longitudinal crack detection in the head of rail tracks using Rayleigh wave-like wideband guided ultrasonic wave. Centre for Materials Science and Engineering The University of Edinburgh. www.cmse.ed.ac.uk/AdvMat45/Rail-crack-detection.pdf
Lanza di Scalea F, Rizzo P, Coccia S, Bartoli I, Fateh M, Viola E, Pascale G. Non-contact ultrasonic inspection of rails
Ambegoda ALATD, Silva WTSD, Hemachandra KT, Samarasinghe TN, Samarasinghe ATLK (2013) Centralized traffic controlling system for Sri Lanka railways. In: 4th international conference on information and automation for sustainability (ICIAFS’08), Sri Lanka, pp 12–14
Mohaiminul MD, Khan I (2014) Automatic railway track switching system. Int J Adv Technol 54
Boylestad FRL, Nashelsky L (2012) Railway crack detection using GPA technology, 9th edn. Prentice Hall, USA, pp 196–199
FRA Safety Statistics Data 1992–2002, FRA, U.S. Department of Transportation (2009)
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Singh, D., Sahana, S., Pal, S., Nath, I., Bhattacharyya, S., Chakraborty, S. (2020). The Reasons for Rail Accident in India Using the Concept of Statistical Methods: An Analytical Approach. In: Solanki, V., Hoang, M., Lu, Z., Pattnaik, P. (eds) Intelligent Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1125. Springer, Singapore. https://doi.org/10.1007/978-981-15-2780-7_2
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DOI: https://doi.org/10.1007/978-981-15-2780-7_2
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