Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions

Julio Proaño Orellana; Israel Pineda; Rolando Armas

doi:10.1109/ETCM56276.2022.9935707

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 congreso › Contribución de conferencia › revisión 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 original	Inglés
Título de la publicación alojada	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
Editores	David Rivas Lalaleo, Monica Karel Huerta
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665487443
DOI	https://doi.org/10.1109/ETCM56276.2022.9935707
Estado	Publicada - 2022
Evento	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 - Quito, Ecuador Duración: 11 oct. 2022 → 14 oct. 2022

Serie de la publicación

Nombre	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

Conferencia

Conferencia	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
País/Territorio	Ecuador
Ciudad	Quito
Período	11/10/22 → 14/10/22

Nota bibliográfica

Publisher Copyright:
© 2022 IEEE.

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10.1109/ETCM56276.2022.9935707

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Orellana, J. P., Pineda, I., & Armas, R. (2022). Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions. En D. R. Lalaleo, & M. K. Huerta (Eds.), 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 (6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETCM56276.2022.9935707

Orellana, Julio Proaño ; Pineda, Israel ; Armas, Rolando. / Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions. 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. editor / David Rivas Lalaleo ; Monica Karel Huerta. Institute of Electrical and Electronics Engineers Inc., 2022. (6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022).

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title = "Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions",

abstract = "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.",

keywords = "-Traffic Flow, GeoSpark-Sim, Microscopic Simulation",

author = "Orellana, {Julio Proa{\~n}o} and Israel Pineda and Rolando Armas",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 ; Conference date: 11-10-2022 Through 14-10-2022",

year = "2022",

doi = "10.1109/ETCM56276.2022.9935707",

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series = "6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Orellana, JP, Pineda, I & Armas, R 2022, Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions. En DR Lalaleo & MK Huerta (eds.), 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022, Institute of Electrical and Electronics Engineers Inc., 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022, Quito, Ecuador, 11/10/22. https://doi.org/10.1109/ETCM56276.2022.9935707

Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions. / Orellana, Julio Proaño; Pineda, Israel; Armas, Rolando.
6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. ed. / David Rivas Lalaleo; Monica Karel Huerta. Institute of Electrical and Electronics Engineers Inc., 2022. (6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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PY - 2022

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N2 - 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.

AB - 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.

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Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions

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