Smart City Gnosys

Smart city article details

Title	Spatio-Temporal Analysis For Smart City Data
ID_Doc	52537
Authors	Bermudez-Edo, M; Barnaghi, P
Year	2018
Published	COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018)
DOI	http://dx.doi.org/10.1145/3184558.3191649
Abstract	The data gathered from smart cities can help citizens and city manager planners know where and when they should be aware of the repercussions regarding events happening in different parts of the city. Most of the smart city data analysis solutions are focused on the events and occurrences of the city as a whole, making it difficult to discern the exact place and time of the consequences of a particular event. We propose a novel method to model the events in a city in space and time. We apply our methodology for vehicular traffic data basing our models in (convolutional) neuronal networks.
Author Keywords	Spatio-Temporal analysis; Deep Learning; Smart cities; Internet of Things; Neuronal Networks

Similar Articles

Id	Similarity	Authors	Title	Published
12159	0.884	Gunturi V.M.V.; Shekhar S.	Big Spatio-Temporal Network Data Analytics For Smart Cities: Research Needs	Springer Geography (2017)
33286	0.878	Shang S.; Chen L.; Jensen C.S.; Kalnis P.	Introduction To Spatio-Temporal Data Management And Analytics For Smart City Research	GeoInformatica, 24, 1 (2020)
52587	0.878	Priya K.; Omkar K.; Naresh R.; Venkatesh K.	Spatio-Temporal Traffic Prediction In Urban Area Using Convolutional Temporal Network System	6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025 - Proceedings (2025)
52516	0.875	Dao M.-S.; Zetsu K.; Hoang D.-T.	Spatial-Temporal Graph Transformer Network For Spatial-Temporal Forecasting	Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024 (2024)
49778	0.872	Alomari E.A.; Mehmood R.	Smart Cities, Smarter Roads: A Review Of Leveraging Cutting-Edge Technologies For Intelligent Event Detection From Social Media	International Journal of Advanced Computer Science and Applications, 14, 11 (2023)
27989	0.871	Chen J.	Geospatial Neural Networks: Enhancing Smart City Through Location Intelligence	2025 5th International Conference on Sensors and Information Technology, ICSI 2025 (2025)
43449	0.871	Zhang Z.; Zhao X.; Liu Q.; Zhang C.; Ma Q.; Wang W.; Zhao H.; Wang Y.; Liu Z.	Promptst: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction	International Conference on Information and Knowledge Management, Proceedings (2023)
20800	0.868	Diao Z.; Wang X.; Zhang D.; Xie G.; Chen J.; Pei C.; Meng X.; Xie K.; Zhang G.	Dmstg: Dynamic Multiview Spatio-Temporal Networks For Traffic Forecasting	IEEE Transactions on Mobile Computing, 23, 6 (2024)
32052	0.867	Qiu Z.; Xie Z.; Ji Z.; Liu X.; Wang G.	Integrating Query Data For Enhanced Traffic Forecasting: A Spatio-Temporal Graph Attention Convolution Network Approach With Delay Modeling	Knowledge-Based Systems, 301 (2024)
4890	0.867	Zhang Y.; Zhang F.	A Spatiotemporal Neural Network Model For City Traffic Prediction	Proceedings of SPIE - The International Society for Optical Engineering, 12970 (2023)