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Using Cellular Automata for Parking Recommendations in Smart Environments

In this work, we propose an innovative adaptive recommendation mechanism for smart parking. The cognitive RF module will transmit the vehicle location information and the parking space requirements to the parking congestion computing center (PCCC) when the driver must find a parking space. Moreover,...

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Detalles Bibliográficos
Autor principal: Horng, Gwo-Jiun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143308/
https://www.ncbi.nlm.nih.gov/pubmed/25153671
http://dx.doi.org/10.1371/journal.pone.0105973
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author Horng, Gwo-Jiun
author_facet Horng, Gwo-Jiun
author_sort Horng, Gwo-Jiun
collection PubMed
description In this work, we propose an innovative adaptive recommendation mechanism for smart parking. The cognitive RF module will transmit the vehicle location information and the parking space requirements to the parking congestion computing center (PCCC) when the driver must find a parking space. Moreover, for the parking spaces, we use a cellular automata (CA) model mechanism that can adjust to full and not full parking lot situations. Here, the PCCC can compute the nearest parking lot, the parking lot status and the current or opposite driving direction with the vehicle location information. By considering the driving direction, we can determine when the vehicles must turn around and thus reduce road congestion and speed up finding a parking space. The recommendation will be sent to the drivers through a wireless communication cognitive radio (CR) model after the computation and analysis by the PCCC. The current study evaluates the performance of this approach by conducting computer simulations. The simulation results show the strengths of the proposed smart parking mechanism in terms of avoiding increased congestion and decreasing the time to find a parking space.
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spelling pubmed-41433082014-08-27 Using Cellular Automata for Parking Recommendations in Smart Environments Horng, Gwo-Jiun PLoS One Research Article In this work, we propose an innovative adaptive recommendation mechanism for smart parking. The cognitive RF module will transmit the vehicle location information and the parking space requirements to the parking congestion computing center (PCCC) when the driver must find a parking space. Moreover, for the parking spaces, we use a cellular automata (CA) model mechanism that can adjust to full and not full parking lot situations. Here, the PCCC can compute the nearest parking lot, the parking lot status and the current or opposite driving direction with the vehicle location information. By considering the driving direction, we can determine when the vehicles must turn around and thus reduce road congestion and speed up finding a parking space. The recommendation will be sent to the drivers through a wireless communication cognitive radio (CR) model after the computation and analysis by the PCCC. The current study evaluates the performance of this approach by conducting computer simulations. The simulation results show the strengths of the proposed smart parking mechanism in terms of avoiding increased congestion and decreasing the time to find a parking space. Public Library of Science 2014-08-25 /pmc/articles/PMC4143308/ /pubmed/25153671 http://dx.doi.org/10.1371/journal.pone.0105973 Text en © 2014 Gwo-Jiun Horng http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Horng, Gwo-Jiun
Using Cellular Automata for Parking Recommendations in Smart Environments
title Using Cellular Automata for Parking Recommendations in Smart Environments
title_full Using Cellular Automata for Parking Recommendations in Smart Environments
title_fullStr Using Cellular Automata for Parking Recommendations in Smart Environments
title_full_unstemmed Using Cellular Automata for Parking Recommendations in Smart Environments
title_short Using Cellular Automata for Parking Recommendations in Smart Environments
title_sort using cellular automata for parking recommendations in smart environments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143308/
https://www.ncbi.nlm.nih.gov/pubmed/25153671
http://dx.doi.org/10.1371/journal.pone.0105973
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