CTRANSPORT: Multi-agent-based simulation

CTRANSPORT: Multi-agent-based simulation

Pollution nowadays is a really important issue that must be solved. Big cities suffer from overcrowding which result in traffic congestion and a lot of air pollution. Adapting to the idea of cities bike lane expansion, we design a Multi-agent simulation to distribute among the users green energy veh...

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Bibliographic Details
Main Authors: Pedro SÁNCHEZ, Denis PATO, Gabriel MARTÍN
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2019-12-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
electric vehicles
multi-agent systems
eco-friendly
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/20003
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spelling doaj-0d6ddb18f8824e0c8edde89ed624b90d2020-11-25T03:20:58ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632019-12-0181192610.14201/ADCAIJ201981192617424CTRANSPORT: Multi-agent-based simulationPedro SÁNCHEZ0Denis PATO1Gabriel MARTÍN2University of SalamancaUniversity of SalamancaUniversity of SalamancaPollution nowadays is a really important issue that must be solved. Big cities suffer from overcrowding which result in traffic congestion and a lot of air pollution. Adapting to the idea of cities bike lane expansion, we design a Multi-agent simulation to distribute among the users green energy vehicles; concretely bikes, scooters and electric cars.https://revistas.usal.es/index.php/2255-2863/article/view/20003electric vehiclesmulti-agent systemseco-friendly
collection DOAJ
language English
format Article
sources DOAJ
author Pedro SÁNCHEZ
Denis PATO
Gabriel MARTÍN
spellingShingle Pedro SÁNCHEZ
Denis PATO
Gabriel MARTÍN
CTRANSPORT: Multi-agent-based simulation
Advances in Distributed Computing and Artificial Intelligence Journal
electric vehicles
multi-agent systems
eco-friendly
author_facet Pedro SÁNCHEZ
Denis PATO
Gabriel MARTÍN
author_sort Pedro SÁNCHEZ
title CTRANSPORT: Multi-agent-based simulation
title_short CTRANSPORT: Multi-agent-based simulation
title_full CTRANSPORT: Multi-agent-based simulation
title_fullStr CTRANSPORT: Multi-agent-based simulation
title_full_unstemmed CTRANSPORT: Multi-agent-based simulation
title_sort ctransport: multi-agent-based simulation
publisher Ediciones Universidad de Salamanca
series Advances in Distributed Computing and Artificial Intelligence Journal
issn 2255-2863
publishDate 2019-12-01
description Pollution nowadays is a really important issue that must be solved. Big cities suffer from overcrowding which result in traffic congestion and a lot of air pollution. Adapting to the idea of cities bike lane expansion, we design a Multi-agent simulation to distribute among the users green energy vehicles; concretely bikes, scooters and electric cars.
topic electric vehicles
multi-agent systems
eco-friendly
url https://revistas.usal.es/index.php/2255-2863/article/view/20003
work_keys_str_mv AT pedrosanchez ctransportmultiagentbasedsimulation
AT denispato ctransportmultiagentbasedsimulation
AT gabrielmartin ctransportmultiagentbasedsimulation
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