A modern, flexible cloud-based database and computing service for real-time analysis of vehicle emissions data.

Urban informatics Pub Date : 2025-01-01 Epub Date: 2025-01-08 DOI:10.1007/s44212-024-00066-4
Christopher E Rushton, James E Tate, Åke Sjödin
{"title":"A modern, flexible cloud-based database and computing service for real-time analysis of vehicle emissions data.","authors":"Christopher E Rushton, James E Tate, Åke Sjödin","doi":"10.1007/s44212-024-00066-4","DOIUrl":null,"url":null,"abstract":"<p><p>In response to the demand for advanced tools in environmental monitoring and policy formulation, this work leverages modern software and big data technologies to enhance novel road transport emissions research. This is achieved by making data and analysis tools more widely available and customisable so users can tailor outputs to their requirements. Through the novel combination of vehicle emissions remote sensing and cloud computing methodologies, these developments aim to reduce the barriers to understanding real-driving emissions (RDE) across urban environments. The platform demonstrates the practical application of modern cloud-computing resources in overcoming the complex demands of air quality management and policy monitoring. This paper shows the potential of modern technological solutions to improve the accessibility of environmental data for policy-making and the broader pursuit of sustainable urban development. The web-application is publicly and freely available at https://cares-public-app.azurewebsites.net.</p>","PeriodicalId":75283,"journal":{"name":"Urban informatics","volume":"4 1","pages":"1"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11711864/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s44212-024-00066-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/8 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In response to the demand for advanced tools in environmental monitoring and policy formulation, this work leverages modern software and big data technologies to enhance novel road transport emissions research. This is achieved by making data and analysis tools more widely available and customisable so users can tailor outputs to their requirements. Through the novel combination of vehicle emissions remote sensing and cloud computing methodologies, these developments aim to reduce the barriers to understanding real-driving emissions (RDE) across urban environments. The platform demonstrates the practical application of modern cloud-computing resources in overcoming the complex demands of air quality management and policy monitoring. This paper shows the potential of modern technological solutions to improve the accessibility of environmental data for policy-making and the broader pursuit of sustainable urban development. The web-application is publicly and freely available at https://cares-public-app.azurewebsites.net.

一个现代的,灵活的基于云的数据库和计算服务,用于实时分析车辆排放数据。
为响应环境监测和政策制定方面对先进工具的需求,本研究利用现代软件和大数据技术加强新的道路运输排放研究。这是通过使数据和分析工具更广泛地可用和可定制来实现的,这样用户就可以根据自己的要求定制输出。通过车辆排放遥感和云计算方法的新颖结合,这些发展旨在减少了解城市环境中实际驾驶排放(RDE)的障碍。该平台展示了现代云计算资源在克服空气质量管理和政策监测的复杂需求方面的实际应用。本文展示了现代技术解决方案的潜力,可以改善环境数据的可及性,以供决策和更广泛地追求可持续城市发展。该web应用程序可在https://cares-public-app.azurewebsites.net上公开免费获得。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信