Passive RFID for Intelligent Transportation Systems
Passive RFID for Intelligent Transportation Systems
复制标题
用于智能交通系统的无源 RFID
DOI：
10.1109/ccnc.2009.4784903
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
H. Hassanein
中科院分区：
文献类型：
--
作者：
Kashif Ali;H. Hassanein
技术使我们的大部分日常活动自动化，从恒温器到波音飞机的着陆，包括车辆运输。预计到2020年，与驾驶相关的死亡人数将达到850万人，这是众多学术、商业和政府参与车辆技术改造（即智能交通系统（ITS））以缓解这种情况的动力。技术已经在ITS中找到了作为车辆到车辆（V2 V）和车辆到基础设施（V2 I）范例的方式。这些范例依赖于主动通信和感测，例如，WiFi、WiMax、雷达、有源RFID标签等等。这些主动感测和通信组件需要一致的电池源，增加了设备的长度、其成本，并且使其便利性边缘化-阻碍了车主的适应。汽车驾驶包括四个基本功能：感知、知觉、判断和行动。ITS的主要目标是感知驾驶环境，并协助驾驶员安全和方便地操作车辆。智能运输系统有两种运作模式，即独立运作和合作运作。在独立系统中，被称为智能车辆（IV）[1]的车辆配备有车载传感器，例如短程雷达，计算机视觉，有源标签等，并用于自适应巡航控制，盲点检测，车道保持辅助等应用中。车载传感器被从外部源流入车辆的信息增强。来自外部源的信息是使用两种机制获得的，例如adhoc无线通信，即，V2 V模型和基于固定基础设施的无线通信，即，V2 I模型在我们看来，现有的方法，基于主动传感和通信模型有两个基本的基本限制;高设备成本和设计限制，以利用非智能车辆（非IV），即，没有任何车载ITS传感器的车辆（在美国超过2.6亿），以协助传感和信息中继。
Technology automates most of our daily activities, from the thermostat to the landing of Boeing aircraft including vehicle transportation. The projected 8.5 million driving related deaths by the year 2020 is the motivating force underlying the numerous academic, commercial and governmental engagements in technology adaptation for vehicles namely, Intelligent Transportation System (ITS), to mitigate the situation. Technology has found its way in ITS as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) paradigms. These paradigms rely on the active communication and sensing, e.g., WiFi, WiMax, radar, active RFID tags and so forth. These active sensing and communication components require consistent battery source, increase the device footage, its cost, and marginalizes its convenience – hindering adaptation by the vehicle owners. Vehicle driving consists of four basic functions: sensing, perception, judgment and action. ITS main goals are the sensing of the driving environments and assisting drivers in operating vehicles with safety and convenience. ITS operates in two modes namely, stand-alone and co-operative. In the stand-alone system the vehicle, termed as Intelligent Vehicle (IV) [1], is equipped with on-board sensors such as short-range radar, computer vision, active tags and so forth, and are used in applications such as adaptive cruise control, blind spot detection, lane keeping assistant, etc. In the co-operative system, the on-board sensors are augmented with the information flowing into the vehicle from outside source(s). The information from outside source is obtained using two mechanisms such as adhoc wireless communication, i.e., the V2V model and the fixed infrastructure based wireless communication, i.e., the V2I model. In our opinion existing approaches, based on active sensing and communication model have two basic fundamental limitations; high equipment cost and design limitations to utilize non-Intelligent Vehicle (non-IV), i.e., the vehicle without any on-board ITS sensor (over 260 million in US), to assist in sensing and information relaying.