物联网在智能停车系统车辆存在检测中的应用

Yi-Yun Chu, Kai Liu
{"title":"物联网在智能停车系统车辆存在检测中的应用","authors":"Yi-Yun Chu, Kai Liu","doi":"10.1109/ECICE50847.2020.9301942","DOIUrl":null,"url":null,"abstract":"More and more people cluster in major cities and thus causing urbanization challenges. In this scenario, many cities are employing technologies to lessen the impact on the environment and increase productivity and efficiency to cope with the high demand. Among which, smart transportation is essential in fulfilling the mobility in the urban areas and promising to meet the increasing demand of passengers. IoT application in a smart parking system has been facilitated in various ways. To achieve its full potential, we need to understand the associated issues and principals. Therefore, this paper focus on understanding the principals within IoT, the process for the layers to function in vehicle detection, and introducing different IoT sensors empowered by different technologies, including cloud computing, big data, RFID, and WSN, that facilitate the smart parking system. After assessing the potential use cases of the IoT in the vehicle presence detection of the smart parking system, this paper will identify and discuss the benefits and challenges along with the recommendation and consideration that serve as the manual to help the industries and the governmental institutions to select appropriate sensors according to different scenarios.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"IoT in Vehicle Presence Detection of Smart Parking System\",\"authors\":\"Yi-Yun Chu, Kai Liu\",\"doi\":\"10.1109/ECICE50847.2020.9301942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"More and more people cluster in major cities and thus causing urbanization challenges. In this scenario, many cities are employing technologies to lessen the impact on the environment and increase productivity and efficiency to cope with the high demand. Among which, smart transportation is essential in fulfilling the mobility in the urban areas and promising to meet the increasing demand of passengers. IoT application in a smart parking system has been facilitated in various ways. To achieve its full potential, we need to understand the associated issues and principals. Therefore, this paper focus on understanding the principals within IoT, the process for the layers to function in vehicle detection, and introducing different IoT sensors empowered by different technologies, including cloud computing, big data, RFID, and WSN, that facilitate the smart parking system. After assessing the potential use cases of the IoT in the vehicle presence detection of the smart parking system, this paper will identify and discuss the benefits and challenges along with the recommendation and consideration that serve as the manual to help the industries and the governmental institutions to select appropriate sensors according to different scenarios.\",\"PeriodicalId\":130143,\"journal\":{\"name\":\"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECICE50847.2020.9301942\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE50847.2020.9301942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

越来越多的人口聚集在大城市,从而带来了城市化的挑战。在这种情况下,许多城市正在采用技术来减少对环境的影响,提高生产力和效率,以应对高需求。其中,智能交通是实现城市出行的关键,有望满足日益增长的乘客需求。物联网在智能停车系统中的应用已经以各种方式得到促进。为了充分发挥其潜力,我们需要了解相关的问题和原则。因此,本文的重点是了解物联网的原理,各层在车辆检测中的作用过程,并介绍由不同技术(包括云计算、大数据、RFID和WSN)支持的不同物联网传感器,以促进智能停车系统的发展。在评估了物联网在智能停车系统车辆存在检测中的潜在用例后,本文将确定并讨论其好处和挑战,以及作为手册的建议和考虑,以帮助行业和政府机构根据不同的场景选择合适的传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
IoT in Vehicle Presence Detection of Smart Parking System
More and more people cluster in major cities and thus causing urbanization challenges. In this scenario, many cities are employing technologies to lessen the impact on the environment and increase productivity and efficiency to cope with the high demand. Among which, smart transportation is essential in fulfilling the mobility in the urban areas and promising to meet the increasing demand of passengers. IoT application in a smart parking system has been facilitated in various ways. To achieve its full potential, we need to understand the associated issues and principals. Therefore, this paper focus on understanding the principals within IoT, the process for the layers to function in vehicle detection, and introducing different IoT sensors empowered by different technologies, including cloud computing, big data, RFID, and WSN, that facilitate the smart parking system. After assessing the potential use cases of the IoT in the vehicle presence detection of the smart parking system, this paper will identify and discuss the benefits and challenges along with the recommendation and consideration that serve as the manual to help the industries and the governmental institutions to select appropriate sensors according to different scenarios.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
3D Cameras and Algorithms for Multi-Angle Gripping and Control of Robotic Arm Real-Time Interaction System of Human-Robot with Hand Gestures A Smart Simulation System for Manufacturing Common Management Technology of Automation Equipment in Industry 4.0 Factors Affecting Location of Nasal Airway Obstruction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1