QAROR DARAXTI YORDAMIDA AVTOMASHINA OQIMINI BASHORAT QILISH
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Transport oqimi, tirbandlik, bashorat, algoritm, model, qaror daraxti, mashinani oʻrgatish modellari, determinatsiya koeffitsiyenti, entropiya.##article.abstract##
Ushbu ishda Toshkent shahri halqa yoʻlining Bogʻishamol koʻchasi bilan
kesishgan chorrahada transport oqimini oʻrganishga qaratilgan. Tadqiqotning obyekti sifatida
transport oqimi va uning dinamik koʻrsatkichlari, yaʼni intensivligi, zichligi va tezlik kabilar tadqiqot
uchun oʻrganilgan va qayta ishlangan. Tadqiqotda qoʻyilgan asosiy masala, qaror daraxti
yordamida transport oqimini bashorat qilish va buning asosida transport harakatini boshqarish
masalalari olingan. Shu bilan birga ushbu ishda yoʻl harakatiga toʻsqinlik qiluvchi omillar tahlili va
bu omillarni kamaytirish boʻyicha fikrlar keltirilgan. Tahlil natijalarida hozirgi kunda jadal
rivojlanib kelayotgan yoʻnalishlarga alohida urgʻu berilib, bunda mashinani oʻrgatish, neyron
tarmoqlari va intellektual transport tizimlari kabi texnologiyalarni transport sohasiga tobora kirib
kelayotgani aniqlangan. Bu yoʻnalishlarning ichidan mashinani oʻqitish yoʻnalishining algoritmi,
usuli va modellari tahlil qilingan. Qilingan tahlillar shuni koʻrsatdiki, qaror daraxti, tasodifiy oʻrmon
va gradient boosting kabi modellar transport oqimini bashorat qilishda keng qoʻllanilishi maʼlum
boʻldi. Ushbu ishda qaror daraxti yordamida ham Toshkent halqa yoʻli va Bogʻishamol koʻchasining
yoʻllardagi transport oqimini bashorat qilish modeli yaxshi natijalarni koʻrsatdi. Bu koʻrsatkichni
baholashda determinatsiya koeffitsiyenti qoʻllanildi va uning koʻrsatkichi 92% ni koʻrsatdi. Bu
bashorat uchun yaxshi koʻrsatkich ekanligi aniqlandi.
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