Intelligent IoT systems for traffic management: A practical application
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This work was supported by the AEI/FEDER, UE project grant TEC2016-76465-C2-1-R (AIM), by DGT-Ministerio delInterior, project grant SPIP2017-02230 (STREET), and by a predoctoral contract for the formation of the research personnel financed by Consejería de Empleo, Universidades, Empresay Medio Ambiente of the CARM, through the FundaciónSéneca - Agencia de Ciencia y Tecnología of the Region of Murcia, Spain.Fecha de publicación
2021-01-05Editorial
WileyCita bibliográfica
Guillen-Perez A, Cano M-D. Intelligent IoT systems for traffic management: A practical application. IET Intell Transp Syst. 2021;15:273–285. https://doi.org/10.1049/itr2.12021Revisión por pares
siResumen
The incorporation of Artificial Intelligence algorithms in Intelligent Transportation Systems gives rise to new opportunities for a more sustainable urban mobility. However, one
of the main challenges is to decide when and where these techniques should be applied;
several options appear, such as cloud computing, fog computing, edge computing, or even
edge devices. In this paper, an Internet of Things-based solution for smart traffic management is presented. Using the lightweight Random Early Detection for Vehicles Dynamic
mechanism as a basis, we optimize using evolutionary algorithms. Random Early Detection for Vehicles Dynamic can be applied in signaled intersections to proactively detect
incipient congestion and set the best cycle and phases of traffic lights. Then, the authors
demonstrate that once Random Early Detection for Vehicles Dynamic has been appropriately optimised offline, it can be later used in unknown traffic scenarios without the
burden of applying Artificial ...
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