An Intelligent Traffic Flow Control System Based on Radio Frequency Identification and Wireless Sensor Networks

Chao, Kuei‐Hsiang; Chen, Pi-Yun

doi:10.1155/2014/694545

Cited by 34 publications

(20 citation statements)

References 14 publications

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“…Chao et al [ 20 ] proposed an intelligent traffic management system based on RFID for determination of traffic flow. The proposed intelligent traffic light control system (ITLCS) uses an RFID system, which complies with the IEEE 802.11p protocol to detect the number of vehicles and find the time in seconds spent by vehicles on main roads and on side roads passing through the intersection throughout a period of green light.…”

Section: State-of-the-art Reviewmentioning

confidence: 99%

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

Kapileswar

Hancke

2016

Sensors

295

141

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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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Section: State-of-the-art Reviewmentioning

confidence: 99%

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

Kapileswar

Hancke

2016

Sensors

295

141

View full text Add to dashboard Cite

show abstract

“…For IoT enabled approaches on optimization for urban transportation network, Chao et al [12] proposed an intelligent traffic management system which focuses on the use of radio frequency identification (RFID) as a form of traffic flow detection. The proposed intelligent traffic light control system (ITLCS) uses an RFID system to detect the number of seconds spent by vehicles on main roads and on side roads passing through detectors during a green light period and then transmits the detected data to the program system on chip (PSoC) microcontroller.…”

Section: Related Workmentioning

confidence: 99%

Study of Group Route Optimization for IoT Enabled Urban Transportation Network

Sang

Zhou

Yang

et al. 2017

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

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Traffic congestion is always a major issue in urban planning, especially when the vehicles in the roadway keep growing and the local authorities are lack of solutions to manage or distribute the traffics in the city. Although there are several factors that may cause traffic congestion, inefficiency in traffic management is always the main issue. Additionally, the most traditional methods of resolving traffic congestion or rerouting algorithm are mainly designed for individuals' benefits, by simply planning a driver's route based on minimum travel time or shortest path accordingly. There is lack of consideration in group benefit or urban development. However, with the development of technologies in Internet of Things (IoT), vehicle to vehicle (V2V) or Vehicle to Infrastructure (V2I) communications, group based routing becomes achievable. Instead of optimizing the routing path for individual drivers, this paper studies how to develop a new method to provide new routing method based on vehicles' similarities in a specific urban's transportation environment.

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“…Chao et al [31] proposed an intelligent traffic management system which focuses on the use of radio frequency identification (RFID) as a form of traffic flow detection. The proposed intelligent traffic light control system (ITLCS) uses an RFID system to detect the number of seconds spent by vehicles on main roads and on side roads passing through detectors during a green light period and then transmits the detected data to the program system on chip (PSoC) microcontroller.…”

Section: B Wireless Sensor Networkmentioning

confidence: 99%

A Survey on Urban Traffic Optimisation for Sustainable and Resilient Transportation Network

Sang

Zhou

Yang

et al. 2016

2016 9th International Conference on Developments in eSystems Engineering (DeSE)

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-Nowadays, sustainability and resilience have become a major consideration that cannot be neglected in urban development. People are starting to consider utilizing the urban infrastructure environment to maintain and improve the functionality and availability of the urban system when unexpected events take place. Traffic congestion is always a major issue in urban planning, especially when the vehicles in the roadway keep growing and the local authorities are lack of solutions to manage or distribute the traffics in the city. It has huge impact on urban sustainability and resilience such as overload of the city's infrastructure, and air pollution, etc. This paper presents a survey on the challenges of developing sustainable and resilient transportation networks and the current urban traffic optimisation methods, as a possible solution to address such challenges. It aims to describe and define the state of the art on the research on sustainable and resilient transportation networks in urban development and a taxonomy of different traffic optimisation methods used for avoiding traffic congestion and improve urban traffic management.

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An Intelligent Traffic Flow Control System Based on Radio Frequency Identification and Wireless Sensor Networks

Cited by 34 publications

References 14 publications

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

Study of Group Route Optimization for IoT Enabled Urban Transportation Network

A Survey on Urban Traffic Optimisation for Sustainable and Resilient Transportation Network

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