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Smart city article details

Title	Digital Twins At The Edge To Track Mobility For Maas Applications
ID_Doc	20276
Authors	Campolo C.; Genovese G.; Molinaro A.; Pizzimenti B.
Year	2020
Published	Proceedings of the 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2020
DOI	http://dx.doi.org/10.1109/DS-RT50469.2020.9213699
Abstract	The research into wireless communication and mobile computing is called to formulate novel smart mobility solutions to improve the quality of a citizen's life in smart cities. In such a context, in this paper we elaborate on the role of technologies like multi-access edge computing (MEC), Internet of Things (IoT) messaging protocols, such as Constrained Application Protocol (CoAP) and Message Queue Telemetry Transport (MQTT), and virtualization (i.e., digital twins) in the design of a framework enabling the collection and processing of data about the mobility of commuters and public transport vehicles. Such data have the purpose to feed mobility monitoring and transport planning solutions. A Proof-of-Concept (PoC) is developed to validate the framework under realistic experimental settings. Results in terms of efficiency and effectiveness of the considered messaging protocols are reported. © 2020 IEEE.
Author Keywords	CoAP; Digital Twin; MaaS; MQTT; Multi-access Edge Computing; OMA LwM2M

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