Markov Model as Approach to Parking Space Occupancy Prediction (CROSBI ID 705136)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Dujić Rodić, Lea ; Perković, Toni ; Zupanović, Tomislav ; Solić, Petar
engleski
Markov Model as Approach to Parking Space Occupancy Prediction
One of the most important infrastructures that enable IoT-based Smart Cities is Smart Parking. This paper introduces a machine learning technique based on Hidden Markov Model that applies a Viterbi algorithm for predicting occupancy lot status based solely on collected LoRa RSSI and SNR values.
Smart Parking, HMM, Viterbi, LoRa, RSSI, SNR
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Podaci o prilogu
9
2021.
objavljeno
10.34385/proc.64.ICTF2020_paper_9
Podaci o matičnoj publikaciji
IEICE Proceedings Series 2021
The Institute of Electronics, Information and Communication Engineers
ISSN:2188-5079
Podaci o skupu
Nepoznat skup
predavanje
29.02.1904-29.02.2096
