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一种基于云的现代化灵活数据库和计算服务,用于实时分析车辆排放数据。

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

作者信息

Rushton Christopher E, Tate James E, Sjödin Åke

机构信息

Institute for Transport Studies, University of Leeds, Leeds, LS2 9JT UK.

IVL Swedish Environmental Research Institute LTD., PO Box 530 21, SE-400 14 Gothenburg, Sweden.

出版信息

Urban Inform. 2025;4(1):1. doi: 10.1007/s44212-024-00066-4. Epub 2025 Jan 8.

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.

摘要

为响应环境监测和政策制定中对先进工具的需求,本研究利用现代软件和大数据技术加强新型道路运输排放研究。通过使数据和分析工具更广泛地可用且可定制,实现了这一目标,以便用户能够根据自身需求定制输出结果。通过将车辆排放遥感和云计算方法进行新颖结合,这些进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复杂需求方面的实际应用。本文展示了现代技术解决方案在提高环境数据对政策制定的可及性以及更广泛地追求可持续城市发展方面的潜力。该网络应用程序可在https://cares-public-app.azurewebsites.net上公开免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13e1/11711864/86888f2f286c/44212_2024_66_Fig1_HTML.jpg

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