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Title	Vulnerable Road Users Accident Prevention Via Smart City Data Fusion: Experimental Evaluation Of A 5G Mec Architecture
ID_Doc	61398
Authors	Rossini E.; Pietri M.; Picone M.; Grazia C.A.; Mamei M.
Year	2024
Published	Proceedings - 2024 22nd International Symposium on Network Computing and Applications, NCA 2024
DOI	http://dx.doi.org/10.1109/NCA61908.2024.00018
Abstract	Enhancing the safety of Vulnerable Road Users (VRUs) poses a significant research challenge in the context of connected mobility and a plethora of technological opportunities trying to balance efficiency and widespread applicability. This paper presents a VRUs’ safety application focused on applying 5G Multi-Access Edge Computing (MEC), commercial mobile devices, public cellular networks, and data fusion between vehicle positioning and city camera infrastructure. The application showcases the designed system and its experimental evaluation in the Modena Automotive Smart Area (MASA) through an experimental 5G MEC infrastructure to build a secure and efficient connected mobility environment. ©2024 IEEE.
Author Keywords	5G; Edge Computing; Smart City; Vulnerable Road Users

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