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...

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Main Authors: Kapileswar Nellore, Gerhard P. Hancke
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/2/157
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spelling doaj-ab16683fe11b42be92c1e8fbaef7398a2020-11-25T01:49:57ZengMDPI AGSensors1424-82202016-01-0116215710.3390/s16020157s16020157A Survey on Urban Traffic Management System Using Wireless Sensor NetworksKapileswar Nellore0Gerhard P. Hancke1Advanced Sensor Networks Research Group, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South AfricaAdvanced Sensor Networks Research Group, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South AfricaNowadays, 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.http://www.mdpi.com/1424-8220/16/2/157Wireless Sensor Networks (WSNs)traffic sensing systemsintelligent traffic light controllersemergency vehicle prioritytraffic congestionAverage Waiting Time (AWT)traffic parameters
collection DOAJ
language English
format Article
sources DOAJ
author Kapileswar Nellore
Gerhard P. Hancke
spellingShingle Kapileswar Nellore
Gerhard P. Hancke
A Survey on Urban Traffic Management System Using Wireless Sensor Networks
Sensors
Wireless Sensor Networks (WSNs)
traffic sensing systems
intelligent traffic light controllers
emergency vehicle priority
traffic congestion
Average Waiting Time (AWT)
traffic parameters
author_facet Kapileswar Nellore
Gerhard P. Hancke
author_sort Kapileswar Nellore
title 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_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_sort survey on urban traffic management system using wireless sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2016-01-01
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.
topic Wireless Sensor Networks (WSNs)
traffic sensing systems
intelligent traffic light controllers
emergency vehicle priority
traffic congestion
Average Waiting Time (AWT)
traffic parameters
url http://www.mdpi.com/1424-8220/16/2/157
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