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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Bibliografiske detaljer
Hovedforfatter:	Enriquez Aguilera, Francisco Javier
Andre forfattere:	Bravo Martinez, Gabriel, Mejia, Jose, Cruz, Oliverio
Format:	Artículo
Sprog:	English
Udgivet:	2024
Fag:	prediction parking occupancy fog computing modified adaboost Tukey’s biweight info:eu-repo/classification/cti/7
Online adgang:	https://doi.org/10.3390/asi7030052 https://www.mdpi.com/2571-5577/7/3/52
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