Traffic Modeling with SUMO: a Tutorial

Fuente: arXiv
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Main Authors: Guastella, Davide Andrea, Montero-Porras, Eladio, Morales-Hernández, Alejandro, Bontempi, Gianluca
Format: Preprint
Published: 2023
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author Guastella, Davide Andrea
Montero-Porras, Eladio
Morales-Hernández, Alejandro
Bontempi, Gianluca
author_facet Guastella, Davide Andrea
Montero-Porras, Eladio
Morales-Hernández, Alejandro
Bontempi, Gianluca
contents This paper presents a step-by-step guide to generating and simulating a traffic scenario using the open-source simulation tool SUMO. It introduces the common pipeline used to generate a synthetic traffic model for SUMO, how to import existing traffic data into a model to achieve accuracy in traffic simulation (that is, producing a traffic model which dynamics is similar to the real one). It also describes how SUMO outputs information from simulation that can be used for data analysis purposes.
format Preprint
id arxiv_https___arxiv_org_abs_2304_05982
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Traffic Modeling with SUMO: a Tutorial
Guastella, Davide Andrea
Montero-Porras, Eladio
Morales-Hernández, Alejandro
Bontempi, Gianluca
Networking and Internet Architecture
This paper presents a step-by-step guide to generating and simulating a traffic scenario using the open-source simulation tool SUMO. It introduces the common pipeline used to generate a synthetic traffic model for SUMO, how to import existing traffic data into a model to achieve accuracy in traffic simulation (that is, producing a traffic model which dynamics is similar to the real one). It also describes how SUMO outputs information from simulation that can be used for data analysis purposes.
title Traffic Modeling with SUMO: a Tutorial
topic Networking and Internet Architecture
url https://arxiv.org/abs/2304.05982