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Title	Data Fusion For Public Transport Traffic Data Analysis: A Case Study
ID_Doc	17224
Authors	Celuch M.; Galinski M.; Bencel R.
Year	2022
Published	2022 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2022
DOI	http://dx.doi.org/10.1109/ZINC55034.2022.9840686
Abstract	As the human population continues to grow and urbanization keeps up, the traffic situation in cities is getting more and more difficult, which also means higher air pollution and addition to global warming. The desired action is to effectively manage traffic flows and decrease the number of vehicles, especially those stuck in traffic jams. A possible solution might be to move a significant number of commuters and travelers from individual to public transport. In recent years, there has been a huge effort put into Intelligent Transport Systems (ITS), that use real-time traffic data. Thus, analysis of related data is needed to set out the next strategy. In this paper, we describe how such data collection and analysis can be done in the city of Bratislava following public transport vehicle movement and delays, current weather, and information related to traffic accidents and road closures. © 2022 IEEE.
Author Keywords	Data fusion; Intelligent Transport; Public transport; Smart Cities; Urban traffic

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