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HARAKATDAGI POYEZDLAR OLDIDAGI TO‘SIQLARNI ANIQLASH USULINI ZAMONAVIY LiDAR TEXNOLOGIYASI ASOSIDA MAHALLIYLASHTIRISH

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MAQOLA ANNOTATSIYASI

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Harakatdagi poyezdlar oldidagi to‘siqlarni aniqlash usulini zamonaviy LiDAR texnologiyasi asosida mahalliylashtirish bugungi kunda O‘zbekiston temir yo‘llari AJ oldida turgan dolzarb muammolardan biridir. Shunga qaramay, temir yo‘l stansiyasi platformalari, temir yo‘l izlari yoki temir yo‘l kesishmalari temir yo‘llardagi asosiy xavfsizlik muammolaridan sanaladi. Afsuski, har yili yuzlab odamlar oldini olishi mumkin bo‘lgan to‘qnashuvlar oqibatida hayotdan ko‘z yumadi. Bunday holatlar ko‘pincha yuqorida sanab o‘tilgan temir yo‘l obyektlarida yuz beradi. Ushbu maqolada yo‘lovchilarni ogohlantirishda yangi zamonaviy LiDAR texnologiyasidan foydalangan holda, temir yo‘l obyektlarida yo‘lovchilarni aniqlash hamda lokomotiv mashinisti va yo‘lovchilarni xavfdan ogohlantirish usuli, shuningdek, harakatdagi poyezdlar oldidagi to‘siqlarni aniqlash usulini zamonaviy LiDAR texnologiyasi asosida mahalliylashtirish masalasining yechimi ko‘rib chiqilgan. Shuningdek, LiDAR tizimining asosiy komponenti sifatida WT200A lazer sensori qo‘llanadi. Mazkur sensor uzoq masofali aniqlash imkoniyatiga ega bo‘lib, 200 metrgacha bo‘lgan oraliqda joylashgan to‘siqlarni aniqlay oladi. Sensor 905 nanometr to‘lqin uzunligiga ega lazer nurlaridan foydalanib, turli ob-havo sharoitlarida, jumladan, tuman, yomg‘ir yoki qorli holatlarda ham yuqori aniqlikda ishlash imkonini beradi. WT200A sensori temir yo‘l izlaridagi to‘siqlarni tezda aniqlab, poyezd dispetcheriga xavf haqida ogohlantirish yuboradi. Bu esa temir yo‘l transportida xavfsizlikni ta’minlashda muhim ahamiyat kasb etadi.

MUALIFLAR

Teglar

# алгоритм# algorithm# algoritm# temir yo‘l avtomatik ogohlantiri# ovoz kuchaytirgichlar (OK)# 3D LiDAR texnologiyasi# rels liniyasi# автоматические системы оповещени# усилители звука# 3D LiDAR-технология# рельсовая линия# railway automatic warning system# loudspeakers (LS)# 3D LiDAR technology# rail line

Maqolani baholang

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Maqola idintifikatorlari

Foydalanilgan adabiyotlar

Boltaev, S. T., & Toshboyev, Z. B., Yo'ldashev, I.A (2025). Warning systems about approaching trains for moving pedestrians at railway stations. In Proceedings of the “Young Scientific Researcher – 2025” IV International Scientific and Technical Conference.

Boltaev, S. T., Rakhmonov, B. B., Muhiddinov, O. O., Saitov, A. A., & Toshboyev, Z. B. (2021). Development of a block model for intelligent control of the position of the switches operating apparatus in the electrical interlocking system. CONMECHYDRO, (365).

Boltayev, S. T., Kosimova, Q. A., & Valiyev, S. I. (2022). Method and algorithm of the automatic warning system of train approaches to railway. Proceedings of the International Conference on Industrial Engineering, Application and Manufacturing (ICIEAM). https://doi.org/10.1109/ ICIEAM54945.2022.9787181

Christina, M., Mairlyn, G., & Jonathan, J. (n.d.). Human factors issues of accidents at passively controlled rural level crossings. https://doi.org/10.3141/2458-12

Huang, L. (2020). The past, present and future of railway interlocking system. In 2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) (pp. 170–174). IEEE. https://doi.org/10.1109/ICITE50838.2020.9231438

Nateghinia, E., & Luis, F. (2025). Development of an unsupervised 3D LiDAR-based methodology for automated safety monitoring of railway facilities. International Journal of Transportation Science and Technology. https://doi.org/10.1016/j.ijtst.2025.01.011

Seminatore, A. A., & Ghelardoni, L. (2012). A railway automatic track warning system based on distributed personal mobile terminals. Procedia - Social and Behavioral Sciences, 48, 2081–2090.

Shen, T., Zhou, J., & Yuan, T. (2024). LiDAR-based urban three-dimensional rail area extraction for improved train collision warnings. Sensors (Basel), 24(15), 4963. https://doi.org/10.3390/ s24154963

Stein, D., Spindler, M., & Kuper, J. (2016). Rail detection using LiDAR sensors. [Journal name missing], 11(1), 65–78.

Susana, D., Sousa, P., & Afonso, F. (2024). A LiDAR based obstacle detection framework for railway. EPJ Web of Conferences, 305, 00027. https://doi.org/10.1051/epjconf/202430500027

Teeg, G., & Vlasenko, S. (2009). Systems of automation and telemechanics on the railways of the world (475 p.). Intext Eurailpress.

Teshima, H., Hori, S., Sakikawa, S., & Sato, N. (2017). Railway track layout modeling and its application to an automatic route setting system. IEEJ Transactions on Electronics, Information and Systems, 137(3), 474–481. https://doi.org/10.1541/ieejeiss.137.474

Teshima, H., Hori, S., Shimura, A., & Sato, N. (2014). Railway track layout modelling and its application to an automatic route setting system. WIT Transactions on the Built Environment, 135, 75– 86. https://doi.org/10.2495/CR140061

Yang, Y., Wang, C., & Liu, X. (2025). High-precision laser monitoring system with enhanced non-uniform scanning for railway safety. Railway Engineering Science, 33(1), 79–93. https://doi. org/10.1007/s40534-024-00351-7

Yasui, Y. (2006). Automatic train operation system for the high speed Shinkansen train. WIT Transactions on the Built Environment, 88, 441–446. https://doi.org/10.2495/CR060441

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