К содержанию
РецензированоEN2024

EVALUATION OF TRANSPORT FLOW USING DEEP LEARNING METHODS OF SATELLITE IMAGES

Hamrakulov Botirbek (TUIT named after Muhammad al-Khwarizmi, Uzbekistan)

Международный журнал передовых научных исследований · 74-78 · 2024

Аннотация

The exponential growth of urbanization has led to increasing problems in traffic management, which require innovative solutions for efficient estimation of traffic flow. Deep learning methods are emerging as a powerful tool for processing and analyzing satellite images, and are being used for traffic flow estimation. This paper describes deep learning-based methods for traffic flow estimation using satellite imagery.

Доказательный фрагмент

«The exponential growth of urbanization has led to increasing problems in traffic management, which require innovative solutions for efficient estimation of traffic flow.»

Образец извлечения

Демо-превью

The exponential growth of urbanization has led to increasing problems in traffic management, which require innovative solutions for efficient estimation of traffic flow. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

DOI не указан
Цитирований
0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
Transport Flow, satellite images, urban traffic
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