Smart Navigation System Using Air Quality Index

Ritik. S. Jain, Ishani Agarwal, Shubha Dwivedi, Shubham Singh, Archana Purwar, Dhanalekshmi Gopinathan
{"title":"Smart Navigation System Using Air Quality Index","authors":"Ritik. S. Jain, Ishani Agarwal, Shubha Dwivedi, Shubham Singh, Archana Purwar, Dhanalekshmi Gopinathan","doi":"10.1109/ICSC48311.2020.9182777","DOIUrl":null,"url":null,"abstract":"With enlarging enormous urbanization and industrialization air pollution has developed a major danger to humankind. The rising traffic of vehicles in cities results into emanation of harmful gases which in turn increase air pollution level. Air pollution mainly constitutes of Ozone (O3), Oxides of Nitrogen, Particulate Matter (PM2.5),Carbon Monoxide (CO) and Particulate Matter (PM10). The requirement to answer for moving from the route which has less air pollution becomes a place of importance. This paper develops a smart navigation system in which air quality index and road Distance is taken into account to suggest safest and fastest route. It uses using A* algorithm to find the optimum path. It tends to minimize the harmful effect of air pollution.The proposed model is validated on data set for two different routes. Routes obtained from the proposed model are compared with routes obtained by Google Map.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Signal Processing and Communication (ICSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSC48311.2020.9182777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

With enlarging enormous urbanization and industrialization air pollution has developed a major danger to humankind. The rising traffic of vehicles in cities results into emanation of harmful gases which in turn increase air pollution level. Air pollution mainly constitutes of Ozone (O3), Oxides of Nitrogen, Particulate Matter (PM2.5),Carbon Monoxide (CO) and Particulate Matter (PM10). The requirement to answer for moving from the route which has less air pollution becomes a place of importance. This paper develops a smart navigation system in which air quality index and road Distance is taken into account to suggest safest and fastest route. It uses using A* algorithm to find the optimum path. It tends to minimize the harmful effect of air pollution.The proposed model is validated on data set for two different routes. Routes obtained from the proposed model are compared with routes obtained by Google Map.
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
使用空气质素指数的智能导航系统
随着大规模城市化和工业化的不断扩大,空气污染已成为人类的一大威胁。城市车辆的增加导致有害气体的排放,这反过来又增加了空气污染水平。空气污染主要由臭氧(O3)、氮氧化物、颗粒物(PM2.5)、一氧化碳(CO)和颗粒物(PM10)构成。从空气污染较少的路线迁移的要求变得非常重要。本文开发了一种考虑空气质量指数和道路距离的智能导航系统,以建议最安全和最快的路线。采用A*算法寻找最优路径。它倾向于把空气污染的有害影响降到最低。在两种不同路线的数据集上对该模型进行了验证。将该模型得到的路线与Google Map得到的路线进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Secure Home Entry Using Raspberry Pi with Notification via Telegram Real Time Weather Prediction System Using IOT and Machine Learning Process of Detection, Determination and Correction Cycle Slip Error:A Review Equivalent Circuit Analysis of the MMR-Based UWB Microstrip Bandpass Filter SRS Automator - An Attempt to Simplify Software Development Lifecycle
×
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