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Smart city article details
| Title | Investigating The Impact Of Meteorological And Traffic Flow Conditions On Emissions |
|---|---|
| ID_Doc | 33419 |
| Authors | Benes V.; Svitek M.; Michalikova A.; Melichercik M. |
| Year | 2024 |
| Published | 2024 IEEE 17th International Scientific Conference on Informatics, INFORMATICS 2024 - Proceedings |
| DOI | http://dx.doi.org/10.1109/Informatics62280.2024.10900910 |
| Abstract | This paper examines the impact of meteorological conditions on traffic flow and its speed in Prague, focusing on variations in precipitation, and temperature to evaluate emission data. We utilize data from strategic traffic detectors operated by the municipality of Prague and sensors from the Czech Hydrometeorological Institute, ensuring the use of high-quality, verified datasets. The study explores the relationships between weather fluctuations, traffic dynamics, and emission parameters. For this purpose, we are using knowledge graphs for relationship detection and fuzzy inference systems for the prediction of changes in emissions depending on various conditions (traffic situation and weather). The findings indicate that weather conditions and traffic flow significantly influence the emission behavior depending on the geographical location and parameters of the investigated urban area. This research enhances our understanding of human and goods mobility within urban settings, specifically in the context of city logistics. © 2024 IEEE. |
| Author Keywords | fuzzy inference systems; knowledge graphs; meteorological conditions; smart city; traffic flow; urbanism |
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