A Telemetric Framework for Assessing Vehicle Emissions Based on Driving Behavior Using Unsupervised Learning

A Telemetric Framework for Assessing Vehicle Emissions Based on Driving Behavior Using Unsupervised Learning

Urban vehicular emissions, a major contributor to environmental degradation, demand accurate methodologies that reflect real-world driving conditions. This study presents a telemetric data-driven framework for assessing emissions of Carbon Monoxide (CO), Hydrocarbons (HCs), and Nitrogen Oxides (NOx)...

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Bibliographic Details
Main Authors: Auwal Sagir Muhammad, Cheng Wang, Longbiao Chen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Vehicles
Subjects:
vehicle emissions
telemetric data
Vehicle Specific Power (VSP)
unsupervised learning
environmental impact
Online Access:https://www.mdpi.com/2624-8921/6/4/106
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