SHAHAR INFRATUZILMASIDA TIRBANDLIK MUAMMOSINI MA’LUMOTLAR BAZASI ASOSIDA FRAKTAL MODELLASHTIRISH

Authors

  • Anarova Shahzoda Amanbayevna Toshkent axborot texnologiyalari universiteti
  • Qarshiyeva Soliha Bahodir qizi Toshkent axborot texnologiyalari universiteti
  • Ismoilova Maftuna Ilxom kizi Toshkent axborot texnologiyalari universiteti

Keywords:

katta ma’lumotlar, ma’lumotlar bazasi, fraktal modellashtirish, tirbandlik muammosi, transport optimallashtirish, shahar infratuzilmasi

Abstract

Ushbu maqolada shahar infratuzilmasida tirbandlik muammolarini hal qilish uchun fraktal modellashtirishning katta ma’lumotlar va ma’lumotlar bazasi texnologiyalari bilan integratsiyasi yoritiladi. Tirbandlik transport tizimlarining murakkabligi va shahar infratuzilmasining noaniq dinamikasi tufayli global muammoga aylangan. Fraktal modellar shahar transport tarmoqlarining murakkab tuzilmalari va ulardagi o‘z-o‘zini takrorlash xususiyatlarini aniqlash imkonini beradi. Maqolada katta ma’lumotlar texnologiyalari yordamida transport oqimlari va yo‘l harakati haqidagi real vaqtli ma’lumotlarni yig‘ish, tahlil qilish va bashorat qilish usullari ko‘rib chiqiladi. Ma’lumotlar bazalari, xususan, NoSQL va SQL tizimlari, fraktal modellarni qo‘llash uchun zarur bo‘lgan katta hajmdagi ma’lumotlarni boshqarish vositasi sifatida tavsiya etiladi. Shuningdek, ma’lumotlarni saqlash, qayta ishlash va transport tizimlarini avtomatlashtirishda ushbu texnologiyalarning ahamiyati yoritilgan. Natijada maqolada shahar transport tizimini optimallashtirish, tirbandlikni kamaytirish va resurslardan samarali foydalanish bo‘yicha innovatsion yechimlar taklif etiladi. Ushbu yondashuv shaharsozlik sohasidagi muammolarni texnologik va ilmiy nuqtai nazardan hal qilish uchun katta salohiyatga ega.

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Sh.A.Anarova, S.B.Qarshiyeva, M.I.Ismoilova. Statistical analysis of big data in databases using fractal theory // “International Scientific and Practical Conference on International Conference on Digital Government: Perspectives on Digital Transformation” T. -2024, 46-51 pp.

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Published

2024-12-23

How to Cite

Anarova , S., Qarshiyeva , S., & Ismoilova , M. (2024). SHAHAR INFRATUZILMASIDA TIRBANDLIK MUAMMOSINI MA’LUMOTLAR BAZASI ASOSIDA FRAKTAL MODELLASHTIRISH. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 2(6), 64–69. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v2i611