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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
Editors	David Rivas Lalaleo, Monica Karel Huerta
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665487443
DOIs	https://doi.org/10.1109/ETCM56276.2022.9935707
State	Published - 2022
Event	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 - Quito, Ecuador Duration: 11 Oct 2022 → 14 Oct 2022

Publication series

Name	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

Conference

Conference	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
Country/Territory	Ecuador
City	Quito
Period	11/10/22 → 14/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

-Traffic Flow
GeoSpark-Sim
Microscopic Simulation

Access to Document

10.1109/ETCM56276.2022.9935707

Cite this

Orellana, J. P., Pineda, I., & Armas, R. (2022). Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions. In 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",

language = "English",

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

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

editor = "Lalaleo, {David Rivas} and Huerta, {Monica Karel}",

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}

Orellana, JP, Pineda, I & Armas, R 2022, Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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M3 - Conference contribution

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BT - 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

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Distributed Architecture for Large Scale Simulation to Estimate CO Vehicles Emissions

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Keywords

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