Nellore Kapileswar, Hancke Gerhard P
Advanced Sensor Networks Research Group, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.
Sensors (Basel). 2016 Jan 27;16(2):157. doi: 10.3390/s16020157.
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.
如今,车辆数量呈指数级增长,但道路和交通系统的基本通行能力却未能以相应的方式发展,无法有效应对行驶在这些道路上的车辆数量。因此,道路拥堵以及与交通相关的污染不断增加,给全球不同市场带来了不利的社会和经济影响。静态控制系统可能会因交通拥堵而阻碍应急车辆通行。无线传感器网络(WSN)在交通检测和避免道路拥堵方面越来越受到关注。WSN非常受欢迎,因为它们信息传输速度更快、安装简便、维护成本低、体积小巧,而且与其他网络选项相比成本更低。在利用WSN的交通管理系统方面已经有了大量研究,以避免拥堵、确保应急车辆的优先权并缩短车辆在十字路口的平均等待时间(AWT)。近几十年来,研究人员已开始使用WSN、射频识别(RFID)、ZigBee、车联网(VANET)、蓝牙设备、摄像头和红外信号来实时监测交通状况。本文对当前基于优先级信号控制、减少拥堵和车辆AWT的城市交通管理方案进行了综述。本次综述的主要目的是提供用于避免拥堵的不同交通管理方案的分类法。考虑了现有的用于避免拥堵和为应急车辆提供优先权的城市交通管理方案,并为进一步研究奠定基础。