A Hybrid Univariate Traffic Congestion Prediction Model for IoT-Enabled Smart City

A Hybrid Univariate Traffic Congestion Prediction Model for IoT-Enabled Smart City

IoT devices collect time-series traffic data, which is stochastic and complex in nature. Traffic flow prediction is a thorny task using this kind of data. A smart traffic congestion prediction system is a need of sustainable and economical smart cities. An intelligent traffic congestion prediction m...

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Bibliographic Details
Main Authors: Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, Ishaani Priyadarshini
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Information
Subjects:
IoT (Internet of Things)
SARIMA
Bi-LSTM
prediction
linear component
non-linear component
Online Access:https://www.mdpi.com/2078-2489/14/5/268

Internet

https://www.mdpi.com/2078-2489/14/5/268

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