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A Survey on Urban Traffic Management System Using Wireless Sensor Networks
Nowadays, the number of vehicles has increased exponentially, but the bedrock capacities of roads and transportation systems have not developed in an equivalent way to efficiently cope with the number of vehicles traveling on them. Due to this, road jamming and traffic correlated pollution have incr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801535/ https://www.ncbi.nlm.nih.gov/pubmed/26828489 http://dx.doi.org/10.3390/s16020157 |
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author | Nellore, Kapileswar Hancke, Gerhard P. |
author_facet | Nellore, Kapileswar Hancke, Gerhard P. |
author_sort | Nellore, Kapileswar |
collection | PubMed |
description | Nowadays, the number of vehicles has increased exponentially, but the bedrock capacities of roads and transportation systems have not developed in an equivalent way to efficiently cope with the number of vehicles traveling on them. Due to this, road jamming and traffic correlated pollution have increased with the associated adverse societal and financial effect on different markets worldwide. A static control system may block emergency vehicles due to traffic jams. Wireless Sensor networks (WSNs) have gained increasing attention in traffic detection and avoiding road congestion. WSNs are very trendy due to their faster transfer of information, easy installation, less maintenance, compactness and for being less expensive compared to other network options. There has been significant research on Traffic Management Systems using WSNs to avoid congestion, ensure priority for emergency vehicles and cut the Average Waiting Time (AWT) of vehicles at intersections. In recent decades, researchers have started to monitor real-time traffic using WSNs, RFIDs, ZigBee, VANETs, Bluetooth devices, cameras and infrared signals. This paper presents a survey of current urban traffic management schemes for priority-based signalling, and reducing congestion and the AWT of vehicles. The main objective of this survey is to provide a taxonomy of different traffic management schemes used for avoiding congestion. Existing urban traffic management schemes for the avoidance of congestion and providing priority to emergency vehicles are considered and set the foundation for further research. |
format | Online Article Text |
id | pubmed-4801535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48015352016-03-25 A Survey on Urban Traffic Management System Using Wireless Sensor Networks Nellore, Kapileswar Hancke, Gerhard P. Sensors (Basel) Review Nowadays, the number of vehicles has increased exponentially, but the bedrock capacities of roads and transportation systems have not developed in an equivalent way to efficiently cope with the number of vehicles traveling on them. Due to this, road jamming and traffic correlated pollution have increased with the associated adverse societal and financial effect on different markets worldwide. A static control system may block emergency vehicles due to traffic jams. Wireless Sensor networks (WSNs) have gained increasing attention in traffic detection and avoiding road congestion. WSNs are very trendy due to their faster transfer of information, easy installation, less maintenance, compactness and for being less expensive compared to other network options. There has been significant research on Traffic Management Systems using WSNs to avoid congestion, ensure priority for emergency vehicles and cut the Average Waiting Time (AWT) of vehicles at intersections. In recent decades, researchers have started to monitor real-time traffic using WSNs, RFIDs, ZigBee, VANETs, Bluetooth devices, cameras and infrared signals. This paper presents a survey of current urban traffic management schemes for priority-based signalling, and reducing congestion and the AWT of vehicles. The main objective of this survey is to provide a taxonomy of different traffic management schemes used for avoiding congestion. Existing urban traffic management schemes for the avoidance of congestion and providing priority to emergency vehicles are considered and set the foundation for further research. MDPI 2016-01-27 /pmc/articles/PMC4801535/ /pubmed/26828489 http://dx.doi.org/10.3390/s16020157 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Nellore, Kapileswar Hancke, Gerhard P. A Survey on Urban Traffic Management System Using Wireless Sensor Networks |
title | A Survey on Urban Traffic Management System Using Wireless Sensor Networks |
title_full | A Survey on Urban Traffic Management System Using Wireless Sensor Networks |
title_fullStr | A Survey on Urban Traffic Management System Using Wireless Sensor Networks |
title_full_unstemmed | A Survey on Urban Traffic Management System Using Wireless Sensor Networks |
title_short | A Survey on Urban Traffic Management System Using Wireless Sensor Networks |
title_sort | survey on urban traffic management system using wireless sensor networks |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801535/ https://www.ncbi.nlm.nih.gov/pubmed/26828489 http://dx.doi.org/10.3390/s16020157 |
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