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Automatic Traffic Light Control System Based on Wireless Sensor Network.

机译:基于无线传感器网络的交通信号灯自动控制系统。

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摘要

All through the previous decades, with the advancements in vehicle ownership every year, traffic congestion has appeared to be a growingly stern issue. Increasing numbers of traffic light control systems (TLCS) have emerged in the market in order to focus on this issue. Nonetheless, current systems showcase the disadvantages of high cost, large installation difficulty, together with enormous maintenance difficulty. This dissertation is devoted to conquering those disadvantages in addition to providing a new method in this field.;This work is composed of a sensor node (SN) as well as an access point (AP). In SN, a giant magneto resistive (GMR) sensor is put to use for the purpose of detecting vehicle signature, in the meantime, a typical wireless MCU, CC2530 that is under ZigBee protocol, is employed for transmitting the signal from sensor node (SN) to access point (AP). In the same manner, a same wireless MCU is put to application in AP for the purpose of receiving the signal. The technology of wireless sensor network (WSN) is the major point of this work.;A demo is established in order to test this design. All through this procedure, software, Protel Altium Designer was put to work for designing printed circuit boards (PCB), IAR Systems was employed for programming and burning program to the chip.
机译:在过去的几十年中,随着车辆保有量的逐年提高,交通拥堵似乎已成为一个日益严峻的问题。为了关注这个问题,市场上出现了越来越多的交通灯控制系统(TLCS)。然而,当前的系统显示出高成本,大安装难度以及巨大的维护难度的缺点。除了提供一种新的方法外,本文还致力于克服这些缺点。这项工作由传感器节点(SN)和接入点(AP)组成。在SN中,为了检测车辆信号而使用了巨磁阻(GMR)传感器,同时,采用了典型的无线MCU MCU(采用ZigBee协议的CC2530)从传感器节点(SN)传输信号。 )访问接入点(AP)。以相同的方式,为了接收信号,在AP中应用了相同的无线MCU。无线传感器网络(WSN)技术是这项工作的重点。;建立了一个演示来测试该设计。在整个过程中,使用Protel Altium Designer软件来设计印刷电路板(PCB),使用IAR Systems进行编程并将程序刻录到芯片上。

著录项

  • 作者

    Wang, Jilin.;

  • 作者单位

    California State University, Fullerton.;

  • 授予单位 California State University, Fullerton.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 71 p.
  • 总页数 71
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:49

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