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Traffic and Driving Simulator Based on Architecture of Interactive Motion
This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i) motion-based driving simulation, (ii) pedestrian s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605350/ https://www.ncbi.nlm.nih.gov/pubmed/26491711 http://dx.doi.org/10.1155/2015/340576 |
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author | Paz, Alexander Veeramisti, Naveen Khaddar, Romesh de la Fuente-Mella, Hanns Modorcea, Luiza |
author_facet | Paz, Alexander Veeramisti, Naveen Khaddar, Romesh de la Fuente-Mella, Hanns Modorcea, Luiza |
author_sort | Paz, Alexander |
collection | PubMed |
description | This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i) motion-based driving simulation, (ii) pedestrian simulation, (iii) motorcycling and bicycling simulation, and (iv) traffic flow simulation. The architecture has been designed to enable the simulation of the entire network; as a result, the actual driver, pedestrian, and bike rider can navigate anywhere in the system. In addition, the background traffic interacts with the actual human beings. This is accomplished by using a hybrid mesomicroscopic traffic flow simulation modeling approach. The mesoscopic traffic flow simulation model loads the results of a user equilibrium traffic assignment solution and propagates the corresponding traffic through the entire system. The microscopic traffic flow simulation model provides background traffic around the vicinities where actual human beings are navigating the system. The two traffic flow simulation models interact continuously to update system conditions based on the interactions between actual humans and the fully simulated entities. Implementation efforts are currently in progress and some preliminary tests of individual components have been conducted. The implementation of the proposed architecture faces significant challenges ranging from multiplatform and multilanguage integration to multievent communication and coordination. |
format | Online Article Text |
id | pubmed-4605350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46053502015-10-21 Traffic and Driving Simulator Based on Architecture of Interactive Motion Paz, Alexander Veeramisti, Naveen Khaddar, Romesh de la Fuente-Mella, Hanns Modorcea, Luiza ScientificWorldJournal Research Article This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i) motion-based driving simulation, (ii) pedestrian simulation, (iii) motorcycling and bicycling simulation, and (iv) traffic flow simulation. The architecture has been designed to enable the simulation of the entire network; as a result, the actual driver, pedestrian, and bike rider can navigate anywhere in the system. In addition, the background traffic interacts with the actual human beings. This is accomplished by using a hybrid mesomicroscopic traffic flow simulation modeling approach. The mesoscopic traffic flow simulation model loads the results of a user equilibrium traffic assignment solution and propagates the corresponding traffic through the entire system. The microscopic traffic flow simulation model provides background traffic around the vicinities where actual human beings are navigating the system. The two traffic flow simulation models interact continuously to update system conditions based on the interactions between actual humans and the fully simulated entities. Implementation efforts are currently in progress and some preliminary tests of individual components have been conducted. The implementation of the proposed architecture faces significant challenges ranging from multiplatform and multilanguage integration to multievent communication and coordination. Hindawi Publishing Corporation 2015 2015-09-30 /pmc/articles/PMC4605350/ /pubmed/26491711 http://dx.doi.org/10.1155/2015/340576 Text en Copyright © 2015 Alexander Paz et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Paz, Alexander Veeramisti, Naveen Khaddar, Romesh de la Fuente-Mella, Hanns Modorcea, Luiza Traffic and Driving Simulator Based on Architecture of Interactive Motion |
title | Traffic and Driving Simulator Based on Architecture of Interactive Motion |
title_full | Traffic and Driving Simulator Based on Architecture of Interactive Motion |
title_fullStr | Traffic and Driving Simulator Based on Architecture of Interactive Motion |
title_full_unstemmed | Traffic and Driving Simulator Based on Architecture of Interactive Motion |
title_short | Traffic and Driving Simulator Based on Architecture of Interactive Motion |
title_sort | traffic and driving simulator based on architecture of interactive motion |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605350/ https://www.ncbi.nlm.nih.gov/pubmed/26491711 http://dx.doi.org/10.1155/2015/340576 |
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