EVALUATION OF TRANSPORT FLOW USING DEEP LEARNING METHODS OF SATELLITE IMAGES

Authors

  • Hamrakulov Botirbek TUIT named after Muhammad al-Khwarizmi, Uzbekistan

DOI:

https://doi.org/10.37547/ijasr-04-04-13

Keywords:

Transport Flow, satellite images, urban traffic

Abstract

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.

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References

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Published

2024-04-23

How to Cite

EVALUATION OF TRANSPORT FLOW USING DEEP LEARNING METHODS OF SATELLITE IMAGES. (2024). International Journal of Advance Scientific Research, 4(04), 74-78. https://doi.org/10.37547/ijasr-04-04-13

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