ABM simulation focused on urban mobility

The objectives of this research is to solve, through high-performance simulation, different mobility problems in cities with mixed traffic (public and private transport, emergencies, bicycles, scooters). To achieve these objectives, the research is oriented to develop new ABM models (Agent Based Mod...

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Detalles Bibliográficos
Autores principales: González Cuevas, Antonio, Suppi, Remo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
Agent Based Modeling
Urban mobility simulation
Real-time data
High performance computing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140664
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-140664
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Agent Based Modeling
Urban mobility simulation
Real-time data
High performance computing
spellingShingle Ciencias Informáticas
Agent Based Modeling
Urban mobility simulation
Real-time data
High performance computing
González Cuevas, Antonio
Suppi, Remo
ABM simulation focused on urban mobility
topic_facet Ciencias Informáticas
Agent Based Modeling
Urban mobility simulation
Real-time data
High performance computing
description The objectives of this research is to solve, through high-performance simulation, different mobility problems in cities with mixed traffic (public and private transport, emergencies, bicycles, scooters). To achieve these objectives, the research is oriented to develop new ABM models (Agent Based Models), integrated with Geographic Information Systems (GIS) in order to provide answers to different situations and mobility scenarios in big cities. We want to analyze different episodes and strategies (real or possible) to solve questions based on 'What if?' with variables such as mixed traffic, bicycles exclusive lanes, reduction of private vehicles lanes, among others. This work shows the first phase of ongoing research focused on the city of Barcelona, but the proposed methodology and models can be quickly extended to other cities. For this, we work with data captured in real traffic analysis processed with vehicle recognition algorithms based on AI (artificial intelligence) and the results are used as the basis for the ABM model based on GIS. The simulation is carried out by integrating initial real data with those generated by the simulation in order to analyze the mobility and their interactions.
format Objeto de conferencia
Objeto de conferencia
author González Cuevas, Antonio
Suppi, Remo
author_facet González Cuevas, Antonio
Suppi, Remo
author_sort González Cuevas, Antonio
title ABM simulation focused on urban mobility
title_short ABM simulation focused on urban mobility
title_full ABM simulation focused on urban mobility
title_fullStr ABM simulation focused on urban mobility
title_full_unstemmed ABM simulation focused on urban mobility
title_sort abm simulation focused on urban mobility
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/140664
work_keys_str_mv AT gonzalezcuevasantonio abmsimulationfocusedonurbanmobility
AT suppiremo abmsimulationfocusedonurbanmobility
bdutipo_str Repositorios
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