Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions

Julio Proaño Orellana, Israel Pineda, Rolando Armas

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Quito is a crowded city in Ecuador with several urban mobility issues. These problems are mainly related to geographical characteristics. There are few comprehensive studies about the traffic of the city using simulation techniques. In this work, we propose to create a city-scale traffic simu-lation for the Quito case. The study includes the analysis of carbon emissions. This study is a computationally expensive task. Thus, we execute our experiments using distributed and High-Performance Computing (HPC) techniques to enable this computation. The simulation shows that it is feasible to reproduce large-scale scenarios to support urban mobility policies and emissions problem insights.

Idioma originalInglés
Título de la publicación alojada6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
EditoresDavid Rivas Lalaleo, Monica Karel Huerta
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665487443
DOI
EstadoPublicada - 2022
Evento6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 - Quito, Ecuador
Duración: 11 oct. 202214 oct. 2022

Serie de la publicación

Nombre6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

Conferencia

Conferencia6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
País/TerritorioEcuador
CiudadQuito
Período11/10/2214/10/22

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