A Proposal for Intelligent Transportation System Solutions in Railways: Digital Railway

Yıl 2023, Sayı: 18, 133 - 149, 31.07.2023

Hasan Burak Gökçe Serhan Subaşı Ercan Kızılay Ahmet Ertuğrul Hacıcaferoğlu Sami Özge Arıoğlu

https://doi.org/10.47072/demiryolu.1308500

Öz

Instead of constructing a new railway line, digitization on rehabilitated lines that can be realized through information technologies such as sensors, artificial intelligence, big data and internet of things on rehabilitated existing lines will increase competitiveness and sustainability of railways. In this study, main and sub-components of a digital railway are described. Then, national and international field and laboratory applications of some selected components that are domestically developed and produced and include firsts in their field, are presented. With the earthquake warning system implemented for the first time in our country's railways, pioneering information about an earthquake in the region was successfully delivered to the operators. Sudden discharges under sleepers, maintenance needs on the line or rolling stock will be easily detected with the smart sleeper developed as a prototype. Deliberate actions are prevented through environmental control system which is locally developed and exported, whereas improved maintenance planning is realized through vehicle management system. As a result, with a digital railway that will be implemented with all its components; up to 35% increases in capacities, up to 50% improvements in safety and security, and up to 25% reduced costs in operation and maintenance can be realized.

Anahtar Kelimeler

Railway, digitalization, modernization, rolling stock, sensors

Demiryollarında Akıllı Ulaşım Sistemi Çözümleri için Bir Öneri: Dijital Demiryolu

Öz

Yeni bir hat inşaatı yerine rehabilite edilmiş mevcut hatlar üzerinde sensörler, yapay zekâ, büyük veri, ve nesnelerin interneti gibi teknolojilerin kullanımı ile gerçekleştirilecek dijitalleşme hamleleri; demiryollarının rekabetçiliğini ve sürdürülebilirliğini arttıracaktır. Çalışmada, bir dijital demiryolunda bulunması gereken ana ve alt bileşenler aktarılmış olup seçilen bazı bileşenler için yerli olarak geliştirilmiş ve üretilmiş, yurt içi ve yurt dışında, saha ve laboratuvar uygulamaları tamamlanmış, alanında ilkler içeren örnekler sunulmuştur. Demiryollarımızda ilk kez uygulanan deprem uyarı sistemi ile bölgede yaşanan bir deprem ile ilgili öncü bilgiler operatörlere başarıyla ulaştırılmıştır. Prototip olarak geliştirilen yerli akıllı travers üzerindeki sensörler ile zemindeki ani boşalmalar, hat veya araçtaki bakım gereksinimleri rahatlıkla tespit edilebilecektir. Yine ülkemizde geliştirilen ve ihraç edilen çevresel kontrol sistemi ile kasıtlı eylemler önlenmekte ve demiryolu araç yönetim sistemi ile bakım planlamaları iyileştirilmektedir. Sonuç olarak, tüm bileşenleriyle hayata geçirilecek bir dijital demiryolu; kapasitede %35’e varan artışlar, emniyet ve güvenlikte %50’ye varan iyileşmeler, işletme ve bakımda %25’e kadar azalan maliyetler sağlayabilecektir.

Anahtar Kelimeler

Demiryolu, dijitalleşme, modernizasyon, demiryolu araçları, sensörler

Kaynakça

• [1] Türkiye Cumhuriyeti Devlet Demiryolları İstatistik yıllığı 2017-2021, ISSN 1300-2503, Ankara, 2022.
• [2] Türkiye Cumhuriyeti Devlet Demiryolları Faaliyet raporu - 2021, ISSN 1300-2503, Ankara, 2022.
• [3] Ö. Akbayır, “Dünya’da ve Türkiye’de demiryolu kazaları nedeniyle meydana gelen ölüm oranlarının karşılaştırılması” Demiryolu Mühendisliği, vol. 5, pp. 45-52, Haz. 2017.
• [4] IPCC, “Climate Change 2022 – Mitigation of climate change – Summary for Policymakers”, www.ipcc.ch/report/ar6/wg3/downloads/report/IPCC_AR6_WGIII_SPM.pdf [Erişim 25/05/2023]
• [5] P. Bubeck, L. Dillenardt, ve L. Alfieri, “Global warming to increase flood risk on European railways”, Climatic Change 155, 19–36, 2019, doi.org/10.1007/s10584-019-02434-5.
• [6] F. Nemry ve H. Demirel, “Impacts of climate change on transport: a focus on road and rail transport infrastructures”, JRC Scientific and Policy Reports. Joint Research Center, 93 sayfa, 2012.
• [7] Network Rail, “Route weather resilience and climate change adaptation plans”, 42 sayfa, 2014.
• [8] Network Rail, “Network Rail third adaptation report”, 115 sayfa, 2021.
• [9] P. Chinowsky, J. Helman, S. Gulati, J. Neumann, ve J. Martinich, “Impacts of climate change on operation of the US rail network”, Transport Policy, 75, 183–191, 2019.
• [10] B. Ning, T. Tang, Z. Gao, F. Yan, F.Y. Wang, ve D.Zeng, “Intelligent railway systems in China”, IEEE Intelligent Systems, Volume: 21, Issue: 5, DOI: 10.1109/MIS.2006.99, 2006.
• [11] J. Zhang, F.Y. Wang, K. Wang, W.H. Lin, X. Xu ve C. Chen, “Data-driven intelligent transportation systems: A survey”, IEEE Transactions on Intelligent Transportation Systems, 12, 4; 1624-1639, 2011.
• [12] L. Janusova, ve S. Cicmancova, “Improving safety of transportation by using intelligent transport systems”, Procedia Engineering; 134; 14 – 22, 2016.
• [13] Q.Y. Li, Z.D. Zhong, M. Liu, ve W.W. Fang, “Chapter 14: smart railway based on the internet of things, big data analytics for sensor-network collected intelligence”; Big Data Analytics for Sensor-Network Collected Intelligence, Editörler: H. H. Hsu, C.Y. Chang, ve C.H. Hsu, Elsevier, 2017.
• [14] Digital Railway Company, 2023, digitale-schiene-deutschland.de/en [Erişim 25/05/2023].
• [15] McKinsey, 2017 “The rail sector’s changing maintenance game: How rail operators and rail OEMs can benefit from digital maintenance opportunities”, www.mckinsey.com/industries/travel-logistics-and-infrastructure/our-insights/the-rail-sectors-changing-maintenance-game, [Erişim 25/05/2023].
• [16] Y. Sarıkavak, “Demiryolu endüstrisinde akıllı ulaştırma sistemleri ve Türkiye’deki uygulama örnekleri”, Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi; 1 (2); 22-32, 2018.
• [17] C. Özarpa, İ. Avcı, ve B.F. Kınacı, “Akıllı raylı sistemlerde kullanılan alt sistemlerin kritik seviye analizi”, Demiryolu Mühendisliği, Sayı: 14, sayfa 143-153, doi: 10.47072/demiryolu.937278, 2021.
• [18] J. Polinski, ve K. Ochocinski, “Digitization in rail transport”; Problemy Kolejnictwa - Railway Reports, 64(188):137-148, DOI:10.36137/1885E, 2020.
• [19] S.P.Jr. Clark, “Structure of the earth”, Prentice-Hall; 88 sayfa, 1971.
• [20] J.D. Cooper, “Earthquake indicator”, San Francisco Bulletin; 3 Kasım 1868.
• [21] K. Ashiya, “Earthquake alarm systems in Japan railways”, Journal of Japan Association Earthquake Engineering; 4(3); 112-117, 2004.
• [22] Y. Shunroku, and M. Tomori, Earthquake early warning system for railways and its performance. Journal of JSCE. 1. 322-328, 2013.
• [23] Y. Wu, D. Chen, T.L. Lin, C.Y. Hsieh, T.L. Chin, ve W.Y. Chang, “A high‐density seismic network for earthquake early warning in Taiwan based on low cost sensors”, Seismological Research Letters; 84; 1048–1054, 2013.
• [24] H. I. Lee, C. Cho, J. H. Park, I. S. Lim, B. ve S. Jeong, “Earthquake early warning system for Korea train express (ktx)”; American Geophysical Union, Fall Meeting, Aralık 2018.
• [25] D.D. Given, R.M. Allen, A.S. Baltay, P. Bodin, E.S. Cochran, K. Creager, R.M. de Groot, L.S. Gee, E. Hauksson, T.H. Heaton, M. Hellweg, J.R. Murray, V.I. Thomas, D. Toomey ve T.S. Yelin, “Revised technical implementation plan for the ShakeAlert system—an earthquake early warning system for the west coast of the US”, U.S Geological Survey Report, 1155, 42 sayfa, 2018.
• [26] R. Demircioğlu ve B. Coşkuner, “Salanda fay zonu’nun Kesikköprü (Kırşehir) ve Yeşilöz (Nevşehir) arasında kalan kesiminin göreceli tektonik aktivitesinin jeomorfik indislerle incelenmesi”; Pamukkale Univ. Müh. Bilim Derg.; 28(3); 464-482, 2022.
• [27] AFAD, “Türkiye deprem tehlike haritası”, https://tdth.afad.gov.tr/, [Erişim 25/05/2023]
• [28] AFAD, “06 Şubat 2023 Pazarcık Mw 7,7 – Elbistan Mw 7,6 - Depremlerine ilişkin ön değerlendirme raporu”, Deprem Dairesi Başkanlığı, 9 Şubat 2023.
• [29] G. Jing, M. Siahkouhi, J.R. Edwards, M.S. Dersch, ve N.A. Hoult, “Smart railway sleepers-A review of recent developments, challenges, and future prospects”, Constr. Build. Mater., 271, 121533, 2021.
• [30] A.E.C. Ruiz, Y. Qian, J.R. Edwards, M.S. Dersch, “Analysis of the temperature effect on concrete crosstie flexural behavior”, Constr. Build. Mater., 196, 362–374, 2019.
• [31] A. Aikawa, “Dynamic characterisation of a ballast layer subject to traffic impact loads using three-dimensional sensing stones and a special sensing sleeper”, Constr. Build. Mater., 92, 23–30, 2015.
• [32] Greenrail Company, https://www.greenrailgroup.com/en/home/ [Erişim 25/05/2023]
• [33] G. Gatti, M. Brennan, M. Tehrani, ve D. Thompson, “Harvesting energy from the vibration of a passing train using a single-degree-of-freedom oscillator”, Mech. Syst. Signal Process., 66, 785–792, 2016.
• [34] L.J. Butler, J. Xu, P. He, N. Gibbons, S. Dirar, C.R. Middleton ve M.Z. Elshafie, “Robust fibre optic sensor arrays for monitoring early-age performance of mass-produced concrete sleepers”, Struct. Health Monit., 17, 635–653, 2019.
• [35] W. Song, B. Huang, X. Shu, H. Wu, ve J. Stransky, “Interaction between railroad ballast and sleeper: a dem-fem approach”, Int. J. Geomech., 19 (5), 04019030, 2019.
• [36] G. Jing, J. Wang, H. Wang, M. Siahkouhi, “Numerical investigation of the behavior of stone ballast mixed by steel slag in ballasted railway track”, Constr. Build. Mater. 262, 120015, 2020.
• [37] D. Nishiura, H. Sakai, A. Aikawa, S. Tsuzuki, ve H. Sakaguchi, “Novel discrete element modeling coupled with finite element method for investigating ballasted railway track dynamics”, Comput. Geotech., 96, 40–54, 2018.
• [38] Y. Qian, S.J. Lee, E. Tutumluer, Y.M. Hashash, D. Mishra ve J. Ghaboussi, “Simulating ballast shear strength from large-scale triaxial tests: Discrete element method”, Transportation R.R., 2374 (1), 2013.
• [39] N. Kurata, B.F. Spencer ve M. Ruiz-Sandoval, “Risk monitoring of buildings with wireless sensor networks”; Struct. Control Health Monit., 12, 315–327, 2005.
• [40] H. Alawad, ve S. Kaewunruen, “Wireless sensor networks: toward smarter railway stations wireless sensor networks”, Infrastructures, 3, 24, 17 sayfa, 2018.
• [41] A. Vijittanasan, T. Anuwongpinit, B. Purahong ve V. Chutchavong, “Development of Thailand railway station management training system based on SCADA system simulation”, International Journal of Simulation: Systems, Science & Technology; Aralık 2020.
• [42] H.B. Hu, W.L. Luo, S.X. Liu ve Y.M. Zhang, “Design of a new fire detection and alarm system based on self-organizing wireless sensor networks”; Applied Mechanics and Materials; Trans Tech Publications: Zürich, Switzerland; Vol. 52; 1142–1146, 2011.
• [43] F. Finkenzeller, “RFID handbook”, 3rd Edition, Wiley, New York, 480 sayfa, 2010.
• [44] A. Rosova, M. Balog ve Z. Simekova, “The use of the RFID in rail freight transport in the world as one of the new technologies of identification and communication.”; Acta Montanistica Slovaca 18 (1); 26–32, 2013.
• [45] B. Malakar ve B. Roy, "Survey of RFID applications in railway industry", Proc. 1st Int. Conf. Autom. Control Energy Syst. (ACES), pp. 1-6, 2014.
• [46] M. Balog ve M. Mindas, “Informatization of rail freight wagon by implementation of the RFID Technology”; Smart City 2015, LNICST; 166; 592–597, 2016.