Predicting parking occupancy via machine learning in the web of things

Jesper C. Provoost; Andreas Kamilaris; Luc J.J. Wismans; Sander J. van der Drift; Maurice van Keulen

doi:10.1016/j.iot.2020.100301

Predicting parking occupancy via machine learning in the web of things

Jesper C. Provoost, Andreas Kamilaris^*, Luc J.J. Wismans, Sander J. van der Drift, Maurice van Keulen

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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317 Downloads (Pure)

Original language	English
Pages (from-to)	100301
Journal	Internet of Things
Volume	12
Early online date	28 Sept 2020
DOIs	https://doi.org/10.1016/j.iot.2020.100301
Publication status	Published - Dec 2020

Keywords

UT-Hybrid-D

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.iot.2020.100301Licence: CC BY

ArticleFinal published version, 1.52 MBLicence: CC BY

Cite this

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AU - Kamilaris, Andreas

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AU - van Keulen, Maurice

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