Instrumentation for safe vehicular flow in intelligent traffic control systems using wireless networks

Eren, Halit; Pakka, Hariani Ma'tang; AlGhamdi, Ahmed Saeed; Yue, Yizuo

doi:10.1109/i2mtc.2013.6555623

Cited by 8 publications

(4 citation statements)

References 28 publications

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“…Eren et al [ 36 ] investigated the use of Programmable Logic Controllers (PLCs) and supervisory control and data acquisition (SCADA) systems in traffic control applications. ZigBee technology is used for communication between the PLC and SCADA systems.…”

Section: State-of-the-art Reviewmentioning

confidence: 99%

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

Kapileswar

Hancke

2016

Sensors

299

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

299

141

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“…Traffic monitoring and control: traffic jam detection and alternate path notification [ 29 , 30 , 31 , 32 , 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

Cross-Layer MAC/Routing Protocol for Reliability Improvement of the Internet of Things

Kim

Lee

2022

Sensors

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The IEEE 802.15.4 standard is recognized as one of the most successful for short-range low-rate wireless communications and is used in Internet of Things (IoT) applications. To improve the performance of wireless networks, interest in protocols that rely on interaction between different layers has increased. Cross-layer design has become an issue in wireless communication systems as it can improve the capacity of wireless networks by optimizing cooperation between multiple layers that constitute network systems. Power efficiency and network scalability must be addressed to spread IoT. In multi-hop networks, many devices share wireless media and are geographically distributed; consequently, efficient medium access control (MAC) and routing protocols are required to mitigate interference and improve reliability. Cross-layer design is a novel network design approach to support flexible layer techniques in IoT. We propose a cross-layer protocol for the MAC layer and routing layer to satisfy the requirements of various networks. The proposed scheme enables scalable and reliable mesh networking using the IEEE 802.15.4 standard and provides robust connectivity and efficient path discovery procedures. It also proposes a novel address-allocation technique to improve address-allocation methods that cannot support large sensor networks. Simulation results indicate that the proposed scheme could improve reliability and reduce end-to-end delay.

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“…The central idea of applications of the vehicular network is to improve the safety and convenience of vehicles. 6 Figure 1 shows the vehicle growth rate.…”

Section: Introductionmentioning

confidence: 99%

Traffic video‐based intelligent traffic control system for smart cities using modified ant colony optimizer

Ragavan¹,

Venkatalakshmi²,

Vijayalakshmi³

2020

Computational Intelligence

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Road traffic congestion is a serious problem in today's world and it happens because of urbanization and population growth. The traffic reduces the transport efficiency in the city, increases the waiting time and travel time, and also increases the usage of fuel and air pollution. To overcome these issues this papers propose an intelligent traffic control system using the Internet of Vehicles (IoV). The vehicles or nodes present in the IoV can communicate between themselves. This technique helps in determining the traffic intensity and the best route to reach the destination. The area of study used in this paper is Vellore city in Tamilnadu, India. The city map is separated into many segments of equal size and Ant Colony Algorithm (AOC) is applied to the separated maps to find the optimal route to reach the destination. Further, Support Vector Machine (SVM) is used to calculate the traffic density and to model the heavy traffic. The proposed algorithm performs better in finding the optimal route when compared to that of the existing path selection algorithms. From the results, it is evident that the proposed IoV-based route selection method provides better performance.

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Instrumentation for safe vehicular flow in intelligent traffic control systems using wireless networks

Cited by 8 publications

References 28 publications

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

A Survey on Urban Traffic Management System Using Wireless Sensor Networks

Cross-Layer MAC/Routing Protocol for Reliability Improvement of the Internet of Things

Traffic video‐based intelligent traffic control system for smart cities using modified ant colony optimizer

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