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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 53, 2015 - Issue 12
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Original Articles

Development of a new time domain-based algorithm for train detection and axle counting

, , &
Pages 1850-1875 | Received 13 Apr 2015, Accepted 02 Aug 2015, Published online: 22 Sep 2015

References

  • Goundan PR, Jhunjhunwala A. Axle counter based block signalling for safe and efficient train operations. Vehicular Technology Conference; September 1999; Amsterdam. p. 19–22.
  • Palmer J. The need for train detection. Railway Signalling and Control Systems; June 2006; York (England). p. 5–9.
  • Ho S.L, Lee KK, Tam HY, Chung WH, Liu SY, Yip CM, Ho TK. A Comprehensive Condition Monitoring of Modern Railway. Railway Condition Monitoring; Nov 2006; Birmingham (England). p. 29–30.
  • Akio T. Development of a train detection system and a spread spectrum transmission system for track circuit. Vehicular Technology Conference; May 1997; Phoenix (AZ). p. 4–7.
  • Midya S, Thottappillil R. An overview of electromagnetic compatibility challenges in European Rail Traffic Management System. Transp Res Part C: Emerg Technol. 2008;16:515–534. doi: 10.1016/j.trc.2007.11.001
  • Bloomfield R. Fundamentals of European rail traffic management system – ERMTS. Proceedings of the 11th IET Professional Development Course on Railway Signalling and Control System; June 2006; York (England). p. 5–9.
  • Gadja J, Piwowar P, Sroka R, Stencel M, Zeglen T. Application of inductive loops as wheel detectors. Transp Res Part C: Emerg Technol. 2012;21:57–66. doi: 10.1016/j.trc.2011.08.010
  • Zhang SQ, Lee WK, Pong PWT. Train detection by magnetic field measurement with giant magnetoresistive sensors for high-speed railway. Appl Mech Mater. 2013;284-287:2102–2114. doi: 10.4028/www.scientific.net/AMM.284-287.2102
  • Zamani A, Mirabadi A. Optimization of sensor orientation in railway wheel detector, using Kriging method. J Electromagn Anal Appl. 2011;3:529–536.
  • Mennella F, Laudati A, Esposito M, Cusano A, Cutolo A, Giordano M, Campopiano S, Breglio G. Railway monitoring and train tracking by fiber Bragg grating sensors. Proceedings of the SPIE 6619, Third European Workshop on Optical Fibre Sensors; July 2007; Napoli (Italy). p. 2.
  • Maurin L, Boussoir J, Rougeault S, Bugaud M, Ferdinand P, Landrot A, Grunevald Y, Chauvin T. FBG-based smart composite bogies for railway applications. Optical Fiber Sensors Conference Technical Digest; May 2002; Portland (OR). p. 10–10.
  • Wei C, Xin Q, Chung WH, Liu SY, Tam HY, Ho SL. Real-time train wheel condition monitoring by fiber Bragg grating sensors. Proceedings of the 2010 Joint Rail Conference;; April 2010; Urbana (IL). p. 27–29.
  • Li W, Jiang N, Liu J, Zhang Y. Train axle counters by Bragg and chirped grating techniques. 19th International Conference on Optical Fibre Sensors. Perth (Australia); April 2008. p. 14.
  • Filograno ML, Corredera P, Rodrguez-Plaza M, Andrs-Alguacil A, Gonzlez-Herrez M. Wheel flat detection in high-speed railway systems using fiber Bragg gratings. IEEE Sensors J. 2013;13:4808–4816. doi: 10.1109/JSEN.2013.2274008
  • Wei CL, Lai CC, Chung WH, Ho TK, Tam HY, Ho SL, McCusker A, Kam J, Lee KY. A fiber Bragg grating sensor system for train axle counting. IEEE Sensors J. 2010;10:1905–1912. doi: 10.1109/JSEN.2009.2035192
  • Filograno ML, Barrios AR, Herraez MG, Corredera P, Lopez S, Plaza MR, Alguacil AA. Real time monitoring of railway traffic using fiber Bragg grating sensors. Joint Rail Conference; April 2010; Urbana (IL). p. 27–29.
  • Filogranov ML, Guillen PC, Rodriguez-Barrios A. Real-time monitoring of railway traffic using fiber Bragg grating sensors. IEEE Sensors J. 2012;12:85–92. doi: 10.1109/JSEN.2011.2135848
  • Ho TK, Liu SY, Lee KY, Ho YT, Ho KH, Maccusker A, Kam J, Tam HY, Ho SL. An investigation of rail condition monitoring by fibre Bragg grating sensors. Trans Hong Kong Inst Eng. 2009;16:9–15.
  • Buggy SJ, James SW, Carroll R, Jaiswal J, Staines S, Tatam RP. Intelligent infrastructure for rail and tramways using optical fibre sensors. J Sensors. 2012;20:1–5.
  • Kouroussis G, Connolly D, Forde M, Verlinden O. Train speed calculation using ground vibrations. J Rail Rapid Transit. 2013, doi:10.1177/0954409713515649
  • Kouroussis G, Verlinden O, Conti C. Influence of some vehicle and track parameters on the environmental vibrations induced by railway traffic. Veh Syst Dyn. 2012;50:619–639. doi: 10.1080/00423114.2011.610897
  • Pavithradevi V, Roopini D, Aleem RVA, Shree VS. Identification of the presence of train and its formation. Second National Conference on Trends in Automotive Parts Systems and Applications; March 2014; Tamil Nadu (India). p. 21–22.
  • Meli E, Pugi L. Preliminary development, simulation and validation of a weigh in motion system for railway vehicles. Meccanica. 2013;48:2541–2565. doi: 10.1007/s11012-013-9769-9
  • Meli E, Falomi S, Malvezzi M, Rindi A. Determination of wheel–rail contact points with semianalytic methods. Multibody Syst Dyn. 2008;20:327–358. doi: 10.1007/s11044-008-9123-5
  • Falomi S, Malvezzi M, Meli E. Multibody modeling of railway vehicles: innovative algorithms for the detection of wheel–rail contact points. Wear. 2011;271:453–461. doi: 10.1016/j.wear.2010.10.039
  • Iwnicki S. The Manchester benchmarks for rail vehicle simulators. Lisse, Netherlands: Swets and Zeitlinger; 1999, 2008.
  • Zhai W, Sun X. A detailed model for investigating vertical interaction between railway vehicle and track. Veh Syst Dyn. 1994;23:603–615. doi: 10.1080/00423119308969544
  • Andersson C, Oscarsson J. Dynamic train/track interaction including state-dependent track properties and flexible vehicle components. Veh Syst Dyn. 1999;33:47–58.
  • Iwnicki S. Handbook of railway vehicle dynamics. London (UK): Taylor and Francis; 2006.
  • Dahlberg T. Some railroad settlement models – a critical review. J Rail Rapid Transit. 2001;215:289–300. doi: 10.1243/0954409011531585
  • Zakeri J.A, Xia H, Fan JJ. Dynamic responses of train–track system to single rail irregularity. Latin Am J Solids Struct. 2009;6.
  • Meli E. An innovative wheel-rail contact model for railway vehicles under degraded adhesion conditions. A Ridolfi Multibody Syst Dyn. 2013;33(3):285–313. doi: 10.1007/s11044-013-9405-4
  • Innocenti A, Marini L, Meli E, Pallini G. A rindi development of a wear model for the analysis of complex railway networks. Wear. 2014;309(1):174–191. doi: 10.1016/j.wear.2013.11.010
  • Kalker JJ. Three-dimensional elastic bodies in rolling contact. Dordrecht, Netherlands: Kluwer Academic; 1990.
  • Kalker JJ. A fast algorithm for the simplified theory of rolling contact. Veh Syst Dyn. 1982;11:1–13. doi: 10.1080/00423118208968684
  • Polach O. A fast wheel–rail forces calculation computer code. Veh Syst Dyn. 1999;33:728–739.
  • http://www.stockequipment.com. Official site of Stock Equipment Company; 2012.
  • Ignesti M, Innocenti A, Marini L, Meli E, Pugi L, Rindi A. Development of an innovative weigh in motion system for railways vehicles. Proceedings of the Multibody Dynamics Congress (ECCOMAS); 2013; Zagreb (Croatia).

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