Analysis and forecasting of traffic flows using information technology
Автор: Eshmuradov D.E., Muxamedjanov A.A.
Журнал: Теория и практика современной науки @modern-j
Рубрика: Математика, информатика и инженерия
Статья в выпуске: 12 (78), 2021 года.
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In the era of rapid development of globalization, the number of vehicles is growing, which in turn leads to congestion of roads and intersections. Information technology in the field of forecasting helps prevent traffic generation through analysis and subsequent modeling on the road. This article describes a method for eliminating traffic congestion.
Statistical methods, analysis, deep learning, model behavior, neural networks
Короткий адрес: https://sciup.org/140275961
IDR: 140275961 | DOI: 10.46566/2412-9682_2021_78_424