AQLLI SHAHARLARDA TRANSPORT OQIMINI NEYRON TARMOQLARI YORDAMIDA BASHORAT QILISH

AQLLI SHAHARLARDA TRANSPORT OQIMINI NEYRON TARMOQLARI YORDAMIDA BASHORAT QILISH

Авторы

  • Sanjarbek Ibragimov

DOI:

https://doi.org/10.5281/zenodo.21683086

Ключевые слова:

aqlli shahar, transport oqimi, neyron tarmoq, vaqt qatori, intellektual transport tizimi, transport zichligi, tirbandlik, sensor ma’lumotlari, bashoratlash

Аннотация

Maqolada aqlli shahar sharoitida transport oqimini neyron tarmoqlari yordamida bashorat qilish metodologiyasi
ishlab chiqilgan. Tadqiqot manbasi sifatida Kaggle platformasidagi “Smart City Traffic Flow Prediction Dataset”
tanlandi. Dastlabki ishlov berish protokoli vaqt belgilarini ajratish, kategorik o‘zgaruvchilarni kodlash, sonli belgilarni
masshtablash, takror va anomal qiymatlarni tekshirish hamda ma’lumotlarni vaqt ketma-ketligida 70/15/15 nisbatda
ajratishni qamrab oladi. Taklif etilgan yondashuv tirbandlikni oldindan aniqlash va adaptiv svetofor boshqaruvini tashkil
etishda qo‘llanishi mumkin.

Биография автора

Sanjarbek Ibragimov

Andijon davlat texnika instituti
Axborot texnologiyalari kafedrasi dotsenti, t.f.f.d. (PhD)

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Опубликован

2026-06-01
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