Smart Parking: Enhancing Urban Mobility with Fog Computing and Machine Learning-Based Parking Occupancy Prediction

Smart Parking: Enhancing Urban Mobility with Fog Computing and Machine Learning-Based Parking Occupancy Prediction

Parking occupancy is difficult in most modern cities because of increases in the accessibility and use of motor vehicles, and users generally take several minutes or even hours to find a place to park. In this work, we propose a smart parking prediction model in order to help users locate in advance...

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Библиографические подробности
Главный автор:	Enriquez Aguilera, Francisco Javier
Другие авторы:	Bravo Martinez, Gabriel, Mejia, Jose, Cruz, Oliverio
Формат:	Artículo
Язык:	English
Опубликовано:	2024
Предметы:	prediction parking occupancy fog computing modified adaboost Tukey’s biweight info:eu-repo/classification/cti/7
Online-ссылка:	https://doi.org/10.3390/asi7030052 https://www.mdpi.com/2571-5577/7/3/52
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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