ITS SUB'EKTLARI DOIMIY RAVISHDA AVTOMASHINADAN AVTOMASHINAGA (V2V), TRANSPORT VOSITASIDAN AVTOMASHINAGA V2X ALOQA TEXNOLOGIYALARI UCHUN KO'LAMNI BERUVCHI KOOPERATIV ITS (C-ITS) USULLARIDAN FOYDALANGAN HOLDA TEGISHLI MA'LUMOTLARNI INTENSIV ALMASHSHISH ALGO
Ключевые слова:
Kalit so'zlar: O'zini-O'rganuvchi Tizim Algoritmi (SLSA), Kooperativ Intelligent Transport Systems (C-ITS), Markov Qaror Jarayonlari (MDP), Mustahkamlash O'rganishi, Stoxastik Tarmoqlar, Matlab SimulyatsiyasiАннотация
Ushbu maqola Kooperativ Intelligent Transport Systems (C-ITS) muhitida qaror qabul qilish jarayonlarini optimallashtirish uchun taklif etilgan O'zini-O'rganuvchi Tizim Algoritmi (SLSA) ning murakkab matematik modelini taqdim etadi. SLSA dinamik va stoxastik tarmoqlarda ma'lumot almashish samaradorligini oshirish uchun mashinaviy o'rganish (reinforcement learning) tamoyillariga asoslangan. Algoritm yangi teorema va matematik isbot bilan qo'llab-quvvatlanadi, bu esa optimal siyosatni (optimal policy) topish uchun penalizatsiya qilingan entropiya (penalized entropy) yondashuvini o'z ichiga oladi. SLSA ning samaradorligi Matlab muhitida o'tkazilgan simulyatsiya yordamida baholanadi, bu yerda tarmoq sharoitlari va resurslarning dinamik o'zgarishlari hisobga olinadi. Natijalar SLSA ning real vaqt rejimida transport tarmoqlarida samaradorlikni oshirishda yuqori potensialga ega ekanligini ko'rsatadi.
Библиографические ссылки
1. Yo‘ldashev A. V. (2024). OB’YEKT HOLATLARINI TASHXISLASHNING INTELLEKTUAL MODELINI SHAKLLANTIRISH TAMOYILI. Экономика и социум, (3-2 (118)), 436-440.
2. Kodirov, D., & Askarov, A. (2023, June). Algorithms for synthesis of observing devices based on operator representation of external forces. In AIP Conference Proceedings (Vol. 2789, No. 1). AIP Publishing.
3. Anvarovich, A. A. (2023). THE IMPORTANCE OF THE MQ-2 SENSOR IN FIRE DETECTION. International journal of advanced research in education, technology and management, 2(6).
4. Mukhammadziyo, I., Asqarov, A., Madaliyev, H., & Fayzullayev, D. (2023, June). Theoretical and experimental study of the law of distribution of non-stationary heat flux in raw cotton stored in the bunt. In AIP Conference Proceedings (Vol. 2789, No. 1). AIP Publishing.
5. Ruzimatov, S., & Azizbek, A. (2022). Mathematical Model Of Textile Enterprise Sales Prevention. Texas Journal of Multidisciplinary Studies, 8, 88-90.
6. Madaliev, X. B., & Tukhtasinov, D. H. (2022). Development Of An Openness Profile For A Logical Control System For Technological Equipment. Ijodkor O'qituvchi, (20), 215-217.
7. To’xtasinov , D. (2023). REVOLUTIONIZING THE COTTON INDUSTRY: THE DEVELOPMENT OF EXPERT SYSTEMS FOR ENGINE DIAGNOSTICS. Interpretation and Researches, 1(10). извлечено от http://interpretationandresearches.uz/index.php/iar/article/view/1242
8. Рузиматов, С., & Тухтасинов, Д. (2021). Выбор цифровых устройств для регулирования содержания влаги хлопка-сырца. Central Asian Journal of Theoretical and Applied Science, 2(9), 10-14.
9. Тухтасинов Д.Х., & Исманов М.А. (2018). СОВЕРШЕНСТВОВАНИЕ СИСТЕМЫ УПРАВЛЕНИЯ КОЛОННОЙ СИНТЕЗА АММИАКА НА ОСНОВЕ НЕЧЕТКОЙ ЛОГИКИ. Экономика и социум, (12 (55)), 1236-1239.
