INTELLEKTUAL TRANSPORT TIZIMLARINING ILOVALARI ISH FAOLIYATINI YAXSHILASH UCHUN TRAFFIKNI BASHORAT QILISH
Keywords:
traffik, regressiya, intellektual transport tizimi (ITT), mashinali o‘qitish, bashorat qilishAbstract
Maqola aqlli transport tizimlarida amalga oshirilishi mumkin bo‘lgan transport bashorati bilan bog‘liq bo‘lib, u o‘tgan yilgi ma’lumotlar to‘plami va so‘nggi yil ma’lumotlari o‘rtasidagi prognozni o‘z ichiga oladi, natijada aniqlik va o‘rtacha kvadrat xatoni ta’minlaydi. Ushbu bashorat zudlik bilan tirbandlik holatini tekshirishga muhtoj bo‘lgan odamlar uchun foydali bo‘ladi. Trafik ma’lumotlari 1 soatlik vaqt oralig‘i asosida taxmin qilinadi. Ushbu bashoratdan trafikning jonli statistikasi tahlil qilinadi. Shunday qilib, avtomobil foydalanuvchilari yo‘lda ketayotganda buni tahlil qilish osonroq bo‘ladi. Tizim barcha yoʻllarning maʼlumotlarini taqqoslaydi va shaharning eng koʻp aholi gavjum yoʻllarini aniqlaydi. Maqolada Sklearn, Keras va Tensorflow kutubxonalarini import qilish orqali mashinali o‘qitishdan foydalangan holda trafikni bashorat qilish uchun regressiya modelini taklif qilinadi.
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