Analysis of altruistic and egoistic effects in transportation networks

Detalhes bibliográficos
Autor(a) principal: Perez, Yuri
Data de Publicação: 2021
Outros Autores: Pereira, Fabio Henrique
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/22514
Resumo: Transport networks are fundamental infrastructure for the dynamics of large urban centers. These structures are subject to congestion, which have a strong social, economic and environmental impact. In this work, an agent-based simulation model was built in order to investigate how altruistic behavior in route selection can affect travel times and flow distribution in a transport network. Methods: OpenStreetMap open database was used to obtain the structure of the transport network. Complex network theory was used to perform the simulation and estimate the impacts of congestion. Simulating mobility flows, we analyzed how the agents' path selection criteria influence congestion levels, path lengths and travel times. Results: altruistic behavior significantly reduces the propagation of congestion and the formation of groupings of congested roads in the transport network, as well as reducing the average travel time between two points, but increasing the average distance traveled in a smaller proportion.
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spelling Analysis of altruistic and egoistic effects in transportation networksAnálisis de los efectos del comportamiento altruista y egoísta en las redes de transporteAnálise dos efeitos de comportamentos altruístas e egoístas em redes de transporteAgentesRed de transporteAltruismoSimulaciónCongestión.AgentesRede de transporteAltruísmoSimulaçãoCongestionamento.AgentsTransportation networkAltruismSimulationCongestion.Transport networks are fundamental infrastructure for the dynamics of large urban centers. These structures are subject to congestion, which have a strong social, economic and environmental impact. In this work, an agent-based simulation model was built in order to investigate how altruistic behavior in route selection can affect travel times and flow distribution in a transport network. Methods: OpenStreetMap open database was used to obtain the structure of the transport network. Complex network theory was used to perform the simulation and estimate the impacts of congestion. Simulating mobility flows, we analyzed how the agents' path selection criteria influence congestion levels, path lengths and travel times. Results: altruistic behavior significantly reduces the propagation of congestion and the formation of groupings of congested roads in the transport network, as well as reducing the average travel time between two points, but increasing the average distance traveled in a smaller proportion.Las redes de transporte son una infraestructura fundamental para la dinámica de los grandes centros urbanos. Estas estructuras están sujetas a congestión, lo que tiene un fuerte impacto social, económico y ambiental. En este trabajo, se construyó un modelo de simulación basado en agentes para investigar cómo el comportamiento altruista en la selección de rutas puede afectar los tiempos de viaje y la distribución del flujo en una red de transporte. Métodos: Se utilizó la base de datos abierta OpenStreetMap para obtener la estructura de la red de transporte. Se utilizó la teoría de redes complejas para realizar la simulación y estimar los impactos de la congestión. Simulando flujos de movilidad, analizamos cómo los criterios de selección de ruta de los agentes influyen en los niveles de congestión, la longitud de las rutas y los tiempos de viaje. Resultados: comportamiento altruista reduce significativamente la propagación de la congestión y la formación de agrupaciones de carreteras congestionadas en la red de transporte, además de reducir el tiempo medio de viaje entre dos puntos, pero incrementando la distancia media recorrida en menor proporción.Redes de transporte são infraestruturas fundamentais para a dinâmica de grandes centros urbanos. Essas estruturas estão sujeitas a congestionamentos, que trazem um forte impacto social, econômico e ambiental. Neste trabalho, foi construído um modelo de simulação baseado em agentes, a fim de investigar como comportamentos altruístas na seleção de rotas pode afetar os tempos de viagem e a distribuição de fluxo em uma rede de transporte. Métodos: A base de dados aberta OpenStreetMap foi utilizada para obter a estrutura da rede de transporte. A teoria de redes complexas foi usada para realizar a simulação e estimar os impactos do congestionamento. Simulando fluxos de mobilidade, foram analisados como os critérios de seleção de trajeto dos agentes influenciam nos níveis de congestionamento, nos comprimentos de trajeto e nos tempos de viagem. Resultados: altruísta reduz significativamente a propagação de congestionamentos e a formação de agrupamentos de vias congestionadas na rede de transporte, assim como reduz o tempo médio de viagem entre dois pontos, mas aumenta a distância média percorrida numa proporção menor.Research, Society and Development2021-11-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2251410.33448/rsd-v10i14.22514Research, Society and Development; Vol. 10 No. 14; e546101422514Research, Society and Development; Vol. 10 Núm. 14; e546101422514Research, Society and Development; v. 10 n. 14; e5461014225142525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/22514/19881Copyright (c) 2021 Yuri Perez; Fabio Henrique Pereirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPerez, YuriPereira, Fabio Henrique 2021-12-04T11:48:39Zoai:ojs.pkp.sfu.ca:article/22514Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:41:39.410650Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Analysis of altruistic and egoistic effects in transportation networks
Análisis de los efectos del comportamiento altruista y egoísta en las redes de transporte
Análise dos efeitos de comportamentos altruístas e egoístas em redes de transporte
title Analysis of altruistic and egoistic effects in transportation networks
spellingShingle Analysis of altruistic and egoistic effects in transportation networks
Perez, Yuri
Agentes
Red de transporte
Altruismo
Simulación
Congestión.
Agentes
Rede de transporte
Altruísmo
Simulação
Congestionamento.
Agents
Transportation network
Altruism
Simulation
Congestion.
title_short Analysis of altruistic and egoistic effects in transportation networks
title_full Analysis of altruistic and egoistic effects in transportation networks
title_fullStr Analysis of altruistic and egoistic effects in transportation networks
title_full_unstemmed Analysis of altruistic and egoistic effects in transportation networks
title_sort Analysis of altruistic and egoistic effects in transportation networks
author Perez, Yuri
author_facet Perez, Yuri
Pereira, Fabio Henrique
author_role author
author2 Pereira, Fabio Henrique
author2_role author
dc.contributor.author.fl_str_mv Perez, Yuri
Pereira, Fabio Henrique
dc.subject.por.fl_str_mv Agentes
Red de transporte
Altruismo
Simulación
Congestión.
Agentes
Rede de transporte
Altruísmo
Simulação
Congestionamento.
Agents
Transportation network
Altruism
Simulation
Congestion.
topic Agentes
Red de transporte
Altruismo
Simulación
Congestión.
Agentes
Rede de transporte
Altruísmo
Simulação
Congestionamento.
Agents
Transportation network
Altruism
Simulation
Congestion.
description Transport networks are fundamental infrastructure for the dynamics of large urban centers. These structures are subject to congestion, which have a strong social, economic and environmental impact. In this work, an agent-based simulation model was built in order to investigate how altruistic behavior in route selection can affect travel times and flow distribution in a transport network. Methods: OpenStreetMap open database was used to obtain the structure of the transport network. Complex network theory was used to perform the simulation and estimate the impacts of congestion. Simulating mobility flows, we analyzed how the agents' path selection criteria influence congestion levels, path lengths and travel times. Results: altruistic behavior significantly reduces the propagation of congestion and the formation of groupings of congested roads in the transport network, as well as reducing the average travel time between two points, but increasing the average distance traveled in a smaller proportion.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-13
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/22514
10.33448/rsd-v10i14.22514
url https://rsdjournal.org/index.php/rsd/article/view/22514
identifier_str_mv 10.33448/rsd-v10i14.22514
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/22514/19881
dc.rights.driver.fl_str_mv Copyright (c) 2021 Yuri Perez; Fabio Henrique Pereira
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Yuri Perez; Fabio Henrique Pereira
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 14; e546101422514
Research, Society and Development; Vol. 10 Núm. 14; e546101422514
Research, Society and Development; v. 10 n. 14; e546101422514
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052809576710144

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