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Sensors 2016, 16(2), 157; doi:10.3390/s16020157

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

Advanced Sensor Networks Research Group, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa
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Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 3 August 2015 / Revised: 21 October 2015 / Accepted: 16 November 2015 / Published: 27 January 2016
(This article belongs to the Section 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. View Full-Text
Keywords: Wireless Sensor Networks (WSNs); traffic sensing systems; intelligent traffic light controllers; emergency vehicle priority; traffic congestion; Average Waiting Time (AWT); traffic parameters 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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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. (CC BY 4.0).

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Nellore, K.; Hancke, G.P. A Survey on Urban Traffic Management System Using Wireless Sensor Networks. Sensors 2016, 16, 157.

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