Abstract
The paper considers the creation of a digital model for railway infrastructure buildings, track, contact network, flora, terrain, etc., as well as the creation of traction and non-traction rolling stock for the simulator with virtual modes of operation. The process of creating 3D models, stations, runs, railway electrification, setting up safety and centralization devices is described. There is no full attachment to the driver's seat, it is possible, for example, to understand how a traction substation works, how to load/unload cargo in the wagons correctly. In the simulator, it is possible to simulate the movement of trains according to real traffic schedules and change something in this schedule directly in the simulator, which will save millions of dollars in experiments in real life. It is also important that the project offers the possibility of using the multiplayer, i.e., the possibility of organizing remote training for many students and employees within the simulated area.
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References
Liu C, Song Y et al (2019) Parallel implementation of the auxiliary power system model of the electric locomotive for hardware-in-the-loop simulation. IET Power Electr 12(13):3521–3526. https://doi.org/10.1049/iet-pel.2019.0220
Huang J et al (2021) Slipping detection of electric locomotive based on empirical wavelet transform, fuzzy entropy algorithm and support vector machine. IEEE Trans Veh Technol 70(8):7558–7570. https://doi.org/10.1109/TVT.2021.3094872
Rodriguez RF, Trovão JP, Solano J (2022) Fuzzy logic-model predictive control energy management strategy for a dual-mode locomotive. Energy Conv Manag 253:115111. https://doi.org/10.1016/j.enconman.2021.115111
Lysenko DA et al (2021) Implementation of the control algorithm of the traction electric equipment. J Phys Conf Ser 2061(1):012135. https://doi.org/10.1088/1742-6596/2061/1/012135
Kutovoj Y, Kyrylenko Y, Obruch I, Kunchenko T (2021) Application of intelligent control systems in electric drives of rail vehicles. In: IEEE 2nd KhPI week on advanced technology, KhPI week 2021–conference proceedings, pp 709–713. https://doi.org/10.1109/KhPIWeek53812.2021.9570026
Montrone T, Pellegrini P, Nobili P (2018) Real-time energy consumption minimization in railway networks. Transp Res Part D Transp Environ 65:524–539. https://doi.org/10.1016/j.trd.2018.09.018
Montrone T, Pellegrini P, Nobili P (2017) Energy consumption minimization problem in a railway network. Transp Res Procedia 22:85–94. https://doi.org/10.1016/j.trpro.2017.03.013
Bécsi T, Aradi S (2017) Energy saving possibilities at the hungarian state railways. Transp Res Procedia 27:617–623. https://doi.org/10.1016/j.trpro.2017.12.054
Sanchis IV, Zuriaga PS (2016) An energy-efficient metro speed profiles for energy savings: application to the valencia metro. Transp Res Procedia 18:226–233. https://doi.org/10.1016/j.trpro.2016.12.031
Ding Y, Bai Y, Liu F, et al (2009) Simulation algorithm for energy-efficient train control under moving block system. In: WRI world congress on computer science and information engineering, CSIE 2009, vol 5, pp 498–502. https://doi.org/10.1109/CSIE.2009.323
Carvajal-Carreño W, Cucala AP, Fernández-Cardador A (2014) Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters. Eng Appl Artif Intell 36:164–177. https://doi.org/10.1016/j.engappai.2014.07.019
Albrecht AR, Howlett PG, Pudney PJ, Vu X (2013) Energy-efficient train control: From local convexity to global optimization and uniqueness. Automatica 49(10):3072–3078. https://doi.org/10.1016/j.automatica.2013.07.008
Scheepmaker GM, Goverde RMP, Kroon LG (2017) Review of energy-efficient train control and timetabling. Eur J Oper Res 257(2):355–376. https://doi.org/10.1016/j.ejor.2016.09.044
Treige P (2000) On-board energy measurement at electric motor vehicles of deutsche bahn. Energiemessung auf elektrischenTriebfahrzeugenbei der DeutschenBahn. Eb - ElektrischeBahnen 98(8):300–305
Behmann U (2015) Energy-saving driving in an area of conflict between informatics and reality. EnergiesparendesFahrenimSpannungsfeldzwischenInformatik und Realität. Eb - ElektrischeBahnen 113(11):578–583
Graßmann S, Behmann U (2014) Bahnenergievermessung und -rückspeisungbei den DB-Verkehrsunternehmen. ElektrischeBahnen 4:168–171
Van Der Spiegel B (2009) Railway energy measuring, managing and billing. In: 6th international conference on the European energy market, EEM 2009. https://doi.org/10.1109/EEM.2009.5207111
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Bogunov, K., Istomin, S. (2023). Designing a 3D Application Based on Digital Models of Railway Infrastructure. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-11051-1_41
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DOI: https://doi.org/10.1007/978-3-031-11051-1_41
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