Analysis of CO2 emissions in urban areas using Sumo simulator and machine learning-based prediction methods

Analysis of CO2 emissions in urban areas using Sumo simulator and machine learning-based prediction methods

The accelerated growth of the vehicle fleet in Latin American cities, such as Quito, combined with its high altitude and high levels of vehicular congestion, has intensified the environmental impact due to carbon dioxide (CO2) emissions. This research proposes a comprehensive methodology that combin...

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Bibliographic Details
Main Author: Casa Vaca, Víctor David (author)
Format: bachelorThesis
Published: 2025
Subjects:
Emisiones de CO2
Aprendizaje automático
Tráfico vehicular
CO2 emissions
Machine learning
Vehicular traffic
Online Access:https://repositorio.yachaytech.edu.ec/handle/123456789/1003
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https://repositorio.yachaytech.edu.ec/handle/123456789/1003

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