Safety distance control approach in moving block signaling systems

Yıl 2025, Cilt: 14 Sayı: 3, 974 - 980, 15.07.2025

Ertuğrul Ateş , İlker Üstoğlu

https://doi.org/10.28948/ngumuh.1644645

Öz

As technology progresses in recent years, the advances in transportation continue rapidly. Some of these advances are seen in the railway industry. Especially the innovations in the railway interlocking system make this industry more preferable. One of these innovations is moving block signaling. In an urban rail transport system, moving block signaling has gradually started to replace the fixed block signaling with the development of driverless and communication-based control systems. In this study, an approach has been proposed for moving block signaling. The movement situations between the stations have been shown, by determining a reference speed profile and the relationship between the locations for the following railway vehicles have been evaluated by simulations obtained by MATLAB/SimulinkTM.

Anahtar Kelimeler

moving block signaling , communication-based train control , speed profile , safe distance

Hareketli blok sinyalizasyon sistemlerinde emniyet mesafesi kontrolü yaklaşımı

Öz

Son yıllarda teknoloji ilerledikçe, ulaşım sektöründeki ilerleyiş de hızla devam etmektedir. Bu ilerlemelerden bazıları da demiryolu endüstrisinde görülmektedir. Özellikle demiryolu anklaşman sisteminde ortaya çıkan yenilikler bu endüstriyi daha tercih edilir hale getirmektedir. Bu yeniliklerden birisi, hareketli blok sinyalizasyonudur. Şehirlerdeki hafif raylı ulaşım sistemlerinde hareketli blok sinyalizasyonu, sürücüsüz ve haberleşme tabanlı kontrol sistemlerinin gelişmesiyle, yavaş yavaş sabit bloklu sinyalizasyonun yerine geçmeye başlamıştır. Bu çalışmada da, hareketli blok sinyalizasyonu için bir yaklaşım önerilmiştir. Bir referans hız değeri belirlenerek, istasyonlar arasındaki hareket durumları gösterilmiş ve birbirlerini takip eden demiryolu araçları için konumlar arasındaki ilişki değerlendirilmiştir.

Anahtar Kelimeler

hareketli blok sinyalizasyonu , haberleşme tabanlı tren kontrolü , hız profili , emniyetli mesafe

Kaynakça

• S. Yasunobu, S. Miyamoto, and H. Ihara, Fuzzy Control For Automatıc Traın Operatıon System, in Control in Transportation Systems, 1984, pp. 33–39, doi: 10.1016/B978-0-08-029365-3.50010-9.
• W. Carvajal-Carreño, A. P. Cucala, and A. Fernández-Cardador, Fuzzy train tracking algorithm for the energy efficient operation of CBTC equipped metro lines, Eng. Appl. Artif. Intell., vol. 53, pp. 19–31, 2016, doi: 10.1016/j.engappai.2016.03.011.
• W. Carvajal-carreño, A. P. Cucala, and A. Fernández-cardador, Engineering Applications of Artificial Intelligence Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters, Eng. Appl. Artif. Intell., vol. 36, pp. 164–177, 2014, doi: 10.1016/j.engappai.2014.07.019.
• K. P. Li, Z. Y. Gao, and B. H. Mao, Energy-optimal control model for train movements, Chinese Phys., vol. 16, no. 2, pp. 359–364, 2007, doi: 10.1088/1009-1963/16/2/015.
• B. Bu, J. Yang, S. Wen, and L. Zhu, Predictive function control for communication-based train control (CBTC) systems, Int. J. Adv. Robot. Syst., vol. 10, 2013, doi: 10.5772/53514.
• J. Yin, D. Chen, and L. Li, Intelligent train operation algorithms for subway by expert system and reinforcement learning, IEEE Trans. Intell. Transp. Syst., vol. 15, no. 6, pp. 2561–2571, 2014, doi: 10.1109/TITS.2014.2320757.
• Q. Gu, Y. Meng, and F. Ma, Energy saving for automatic train control in moving block signaling system, China Commun., vol. 11, no. 14, pp. 12–22, 2014, doi: 10.1109/ITSC.2011.6082964.
• H. Wang, F. R. Yu, L. Zhu, T. Tang, and B. Ning, Finite-state Markov modeling for wireless channels in tunnel communication-based train control systems, IEEE Trans. Intell. Transp. Syst., vol. 15, no. 3, pp. 1083–1090, 2014, doi: 10.1109/TITS.2014.2298038.
• M. S. Durmus, K. Ucak, G. Oke, and M. T. Soylemez, Train speed control in moving-block railway systems: An online adaptive pd controller design, in IFAC Proceedings Volumes (IFAC-PapersOnline), 2013, vol. 1, no. PART 1, pp. 7–12, doi: 10.3182/20130916-2-TR-4042.00022.
• A. Albrecht, P. Howlett, P. Pudney, X. Vu, and P. Zhou, The key principles of optimal train control—Part 1: Formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points, Transp. Res. Part B Methodol., vol. 94, pp. 482–508, 2016, doi: 10.1016/j.trb.2015.07.023
• R. Liu and I. M. Golovitcher, Energy-efficient operation of rail vehicles, Transp. Res. Part A Policy Pract., vol. 37, no. 10, pp. 917–932, 2003, doi: 10.1016/j.tra.2003.07.001.
• S. Su, X. Li, T. Tang, and Z. Gao, A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy, vol. 14, no. 2, pp. 883–893, 2013, doi: 10.1109/TITS.2013.2244885.
• Y. Wang, B. De Schutter, J. J. Van Den Boom, and B. Ning, Optimal trajectory planning for trains under fixed and moving signaling systems using mixed integer linear programming, Control Eng. Pract., vol. 22, pp. 44–56, 2013, doi: 10.1016/j.conengprac.2013.09.011.
• J. Yin, T. Tang, L. Yang, J. Xun, Y. Huang, and Z. Gao, Research and development of automatic train operation for railway transportation systems: A survey, Transportation Research Part C: Emerging Technologies, vol. 85. pp. 548–572, 2017, doi: 10.1016/j.trc.2017.09.009.
• R. Takagi, Synchronisation control of trains on the railway track controlled by the moving block signalling system, IET Electr. Syst. Transp., vol. 2, no. 3, p. 130, 2012, doi: 10.1049/iet-est.2011.0053.
• B. Allotta, L. Chisci, P. D’Adamio, S. Papini, and L. Pugi, Design of an Automatic Train Operation (ATO) system based on CBTC for the management of driverless suburban railways, 12th IMEKO TC10 Work. Tech. Diagnostics New Perspect. Meas. Tools Tech. Ind. Appl. Proc., vol. 0, pp. 84–89, 2013.
• CEE 3604 Rail Transportation: Addendum Rail Resistance Equations.