Evaluación de la contaminación vehicular mediante inteligencia artificial en la ciudad de Ica en el 2024
Fecha
2024
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Universidad Nacional San Luis Gonzaga. Vicerrectorado de Investigación. Instituto de Investigación
Resumen
Las emisiones de dióxido de carbono (CO₂) provenientes del transporte
vehicular son una de las principales causas del cambio climático, y en Ica, el parque
automotor juega un papel importante en este problema. El propósito de este trabajo es
analizar las emisiones de CO₂ generadas por los vehículos en la ciudad de Ica, utilizando
herramientas de inteligencia artificial. A través de este análisis, buscamos identificar
patrones y características de los vehículos que más contribuyen a la contaminación. Con
esta información, será posible proponer medidas para reducir las emisiones y mejorar
la calidad del aire. Además, este estudio tiene como objetivo apoyar los esfuerzos
internacionales para reducir los gases de efecto invernadero, en línea con las iniciativas
globales para combatir el cambio climático. También es fundamental que las
autoridades locales, como la Municipalidad de Ica, utilicen estos datos para diseñar
políticas públicas que promuevan la sostenibilidad y la salud ambiental. En resumen,
este trabajo no solo busca profundizar en la comprensión de las emisiones vehiculares
en Ica, sino también ofrecer soluciones concretas para mitigar su impacto y mejorar el
entorno a largo plazo.
Carbon dioxide (CO₂) emissions from vehicular transport are one of the main causes of climate change, and in Ica, the vehicle fleet plays an important role in this issue. The purpose of this study is to analyze the CO₂ emissions generated by vehicles in the city of Ica using artificial intelligence tools. Through this analysis, we aim to identify patterns and characteristics of the vehicles that contribute most to pollution. With this information, it will be possible to propose measures to reduce emissions and improve air quality. Additionally, this study aims to support international efforts to reduce greenhouse gases, aligning with global initiatives to combat climate change. It is also crucial that local authorities, such as the Municipality of Ica, use this data to design public policies that promote sustainability and environmental health. In summary, this work not only seeks to deepen the understanding of vehicular emissions in Ica but also to offer concrete solutions to mitigate their impact and improve the environment in the long term.
Carbon dioxide (CO₂) emissions from vehicular transport are one of the main causes of climate change, and in Ica, the vehicle fleet plays an important role in this issue. The purpose of this study is to analyze the CO₂ emissions generated by vehicles in the city of Ica using artificial intelligence tools. Through this analysis, we aim to identify patterns and characteristics of the vehicles that contribute most to pollution. With this information, it will be possible to propose measures to reduce emissions and improve air quality. Additionally, this study aims to support international efforts to reduce greenhouse gases, aligning with global initiatives to combat climate change. It is also crucial that local authorities, such as the Municipality of Ica, use this data to design public policies that promote sustainability and environmental health. In summary, this work not only seeks to deepen the understanding of vehicular emissions in Ica but also to offer concrete solutions to mitigate their impact and improve the environment in the long term.
Descripción
Palabras clave
Emisiones de CO₂, Transporte vehicular, Cambio climático