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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Hlavní autor:	Enriquez Aguilera, Francisco Javier
Další autoři:	Bravo Martinez, Gabriel, Mejia, Jose, Cruz, Oliverio
Médium:	Artículo
Jazyk:	English
Vydáno:	2024
Témata:	prediction parking occupancy fog computing modified adaboost Tukey’s biweight info:eu-repo/classification/cti/7
On-line přístup:	https://doi.org/10.3390/asi7030052 https://www.mdpi.com/2571-5577/7/3/52
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Smart Parking: Enhancing Urban Mobility with Fog Computing and Machine Learning-Based Parking Occupancy Prediction

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