Summary
IEICE Information and Communication Technology Forum
2020
Session Number:ICTF_4
Session:
Number:ICTF2020_paper_9
Markov Model as Approach to Parking Space Occupancy Prediction
Lea Dujic Rodic, Toni Perkovic, Tomislav Zupanovic, Petar Solic,
pp.-
Publication Date:2021/03/24
Online ISSN:2188-5079
DOI:10.34385/proc.64.ICTF2020_paper_9
Summary:
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.