Smart City Gnosys

Smart city article details

Title	Distributed Big Data Analytics In A Smart City
ID_Doc	20598
Authors	Serrano M.A.; Hadad E.; Cavicchioli R.; Palmero R.; Chiantore L.; Amendola D.; Quiñones E.
Year	2022
Published	Technologies and Applications for Big Data Value
DOI	http://dx.doi.org/10.1007/9783030783075_21
Abstract	This chapter describes an actual smart city use-case application for advanced mobility and intelligent traffic management, implemented in the city of Modena, Italy. This use case is developed in the context of the European Union's Horizon 2020 project CLASS [4]-Edge and Cloud Computation: A highly Distributed Software for Big Data Analytics. This use-case requires both realtime data processing (data in motion) for driving assistance and online city-wide monitoring, as well as large-scale offline processing of big data sets collected from sensors (data at rest). As such, it demonstrates the advanced capabilities of the CLASS software architecture to coordinate edge and cloud for big data analytics. Concretely, the CLASS smart city use case includes a range of mobility- related applications, including extended car awareness for collision avoidance, air pollution monitoring, and digital traffic sign management. These applications serve to improve the quality of road traffic in terms of safety, sustainability, and efficiency. © The Author(s) 2022. All rights reserved.
Author Keywords	Analytics; Big data; Distributed; IoT; Real time; Smart city

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