Smart City Gnosys

Smart city article details

Title	Data Enrichment Toolchain: A Use-Case For Correlation Analysis Of Air Quality, Traffic, And Meteorological Metrics In Madrid'S Smart City
ID_Doc	17208
Authors	Jafari A.R.; González V.; Martín L.; Sánchez L.; Lanza J.; Raza S.M.; Alvi M.; Kaewnoparat K.; Minerva R.; Crespi N.
Year	2024
Published	Internet of Things (Netherlands), 26
DOI	http://dx.doi.org/10.1016/j.iot.2024.101232
Abstract	In the era of burgeoning data diversity in heterogeneous sources, unlocking valuable insights becomes pivotal. Raw data often lack context and meaning, necessitating the deployment of services that link and enhance data, thereby extracting meaningful patterns and information. For example, exploring the significance of IoT sensors in measuring air quality across cities emphasizes the potential to establish connections between air quality and associated metrics like traffic intensity and meteorological conditions. Introducing the Data Enrichment Toolchain (DET), this study underscores its role in harmonizing and curating diverse datasets. DET operates on linked-data principles and adheres to the NGSI-LD standard, enabling seamless integration and correlation analysis across disparate data domains. The research delves into the intricate relationship between traffic patterns and prevalent air pollutants, utilizing enriched datasets from European cities focusing on the smart city of Madrid as a use-case. Considering the COVID-19 pandemic's impact on traffic flow and meteorological influences on air quality, the study examines pre-pandemic, pandemic, and post-pandemic traffic scenarios in Madrid. By leveraging DET-enhanced datasets, the investigation aims to unravel nuanced insights into the interplay between traffic, meteorological factors, and air quality, offering valuable implications for urban planning and pollution mitigation strategies. © 2024 Elsevier B.V.
Author Keywords	Correlation analysis; Data analysis; Data enrichment toolchain; Smart city

Similar Articles

Id	Similarity	Authors	Title	Published
49184	0.874	Garrido-Hidalgo C.; Solmaz G.; Jacobs T.; Roda-Sanchez L.	Smart Beestricts: Improving The Spatial Resolution Of Air-Quality Data In Madrid Through Transfer Learning	International Journal of Geographical Information Science (2025)
35078	0.863	Alabi O.O.; Ajagbe S.A.; Kuti O.; Afe O.F.; Ajiboye G.O.; Adigun M.O.	Leveraging Environmental Data For Intelligent Traffic Forecasting In Smart Cities	Communications in Computer and Information Science, 2159 CCIS (2024)
58525	0.861	Ilarri S.; Trillo-Lado R.; Marrodán L.	Traffic And Pollution Modelling For Air Quality Awareness: An Experience In The City Of Zaragoza	SN Computer Science, 3, 4 (2022)
37189	0.856	Datia N.; Pato M.P.M.; Taborda R.; Pires J.M.	Ml Approach To Predict Air Quality Using Sensor And Road Traffic Data	Studies in Computational Intelligence, 1014 (2022)
55686	0.856	Woodbridge D.; Hua N.; Suarez V.; Reilly R.; Trinh P.; Intrevado P.	The Impact Of Bike-Sharing Ridership On Air Quality: A Scalable Data Science Framework	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (2019)
2546	0.855	Armijos J.C.; Avagyan G.; Leung C.K.; Tabuzo J.J.; Teodocio A.F.	A Metaverse Platform For Air Pollution Analysis In Supporting Smart And Sustainable City Development	2024 IEEE 11th International Conference on Data Science and Advanced Analytics, DSAA 2024 (2024)
5831	0.852	Karampakakis P.; Ioakeimidou D.; Chatzimisios P.; Tsintotas K.A.	A Web-Based Application For Smart City Data Analysis And Visualization	Future Internet, 17, 5 (2025)
31969	0.851	Myeong, S; Shahzad, K	Integrating Data-Based Strategies And Advanced Technologies With Efficient Air Pollution Management In Smart Cities	SUSTAINABILITY, 13, 13 (2021)
17322	0.85	Julio H. Buelvas P.; Fernando E. Avila B.; Natalia Gaviria G.; Danny A. Munera R.	Data Quality Estimation In A Smart City'S Air Quality Monitoring Iot Application	2021 2nd Sustainable Cities Latin America Conference, SCLA 2021 (2021)
33702	0.85	Alnowaiser K.; Alarfaj A.A.; Alabdulqader E.A.; Umer M.; Cascone L.; Alankar B.	Iot Based Smart Framework To Predict Air Quality In Congested Traffic Areas Using Sv-Cnn Ensemble And Knn Imputation Model	Computers and Electrical Engineering, 118 (2024)