A Sound-based Machine Learning to Predict Traffic Vehicle Density

A Sound-based Machine Learning to Predict Traffic Vehicle Density

Traffic flow mismanagement is a significant challenge in all countries especially in crowded cities. An alternative solution is to utilize smart technologies to predict traffic flow. In this study, frequency spectrum describing traffic sound characteristics is used as an indicator to predict the nex...

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Bibliographic Details
Main Authors: Geoferleen Flores, Eduardo Jr. Piedad, Anzeneth Figueroa, Romari Tumamak, Nesrah Jane Marie Berdon
Format: Article
Language:English
Published: Center for Policy, Research and Development Studies 2021-06-01
Series:Recoletos Multidisciplinary Research Journal
Subjects:
vehicle density
sound features
sound intensity
machine learning
traffic prediction
random forest
artificial neural network
support vector machine
Online Access:https://rmrj.usjr.edu.ph/rmrj/index.php/RMRJ/article/view/982

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https://rmrj.usjr.edu.ph/rmrj/index.php/RMRJ/article/view/982

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