Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data

Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data

The rapid growth of demand for transportation, both for people and goods, as well as the massive accumulation of population in urban centers has augmented the need for the development of smart transport systems. One of the needs that have arisen is to efficiently monitor and evaluate driving behavio...

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Bibliographic Details
Main Authors: Konstantinos Demestichas, Theodoros Alexakis, Nikolaos Peppes, Evgenia Adamopoulou
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Vehicles
Subjects:
machine learning
outliers
anomaly detection
vehicle data
road traffic
Online Access:https://www.mdpi.com/2624-8921/3/2/11

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