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      A Survey on Urban Traffic Management System Using Wireless Sensor Networks

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          Abstract

          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.

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          Most cited references63

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          Effective Urban Traffic Monitoring by Vehicular Sensor Networks

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            Wireless Sensor Networks for Oceanographic Monitoring: A Systematic Review

            Monitoring of the marine environment has come to be a field of scientific interest in the last ten years. The instruments used in this work have ranged from small-scale sensor networks to complex observation systems. Among small-scale networks, Wireless Sensor Networks (WSNs) are a highly attractive solution in that they are easy to deploy, operate and dismantle and are relatively inexpensive. The aim of this paper is to identify, appraise, select and synthesize all high quality research evidence relevant to the use of WSNs in oceanographic monitoring. The literature is systematically reviewed to offer an overview of the present state of this field of study and identify the principal resources that have been used to implement networks of this kind. Finally, this article details the challenges and difficulties that have to be overcome if these networks are to be successfully deployed.
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              Using GPS Data to Gain Insight into Public Transport Travel Time Variability

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                27 January 2016
                February 2016
                : 16
                : 2
                : 157
                Affiliations
                Advanced Sensor Networks Research Group, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa; gerhard.hancke@ 123456up.ac.za
                Author notes
                [* ]Correspondence: u15342396@ 123456tuks.co.za ; Tel.: +27-61-859-5390; Fax: +27-12-362-5000
                Article
                sensors-16-00157
                10.3390/s16020157
                4801535
                26828489
                e644eadc-af75-4728-b32f-6841a6bc7e01
                © 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/).

                History
                : 03 August 2015
                : 16 November 2015
                Categories
                Review

                Biomedical engineering
                wireless sensor networks (wsns),traffic sensing systems,intelligent traffic light controllers,emergency vehicle priority,traffic congestion,average waiting time (awt),traffic parameters

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