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A Hierarchical Fog-based Architecture for IoT-enabled Intelligent Traffic Lights System Services

Published: 04 March 2021 Publication History

Abstract

Intelligent transport / traffic systems have evolved into highly important smart cities applications. In this paper a hierarchical multi-agent architecture is proposed that appropriately exploits the fog computing paradigm and Akka framework to provide the necessary structures and semantics for implementing urban demand responsive intelligent traffic system services. The proposed architecture mainly consists of a distributed hierarchical network of Akka Actors that act as traffic controllers in a geographical urban zone. The reduction of delays for emergency vehicles, the minimization of total vehicle and pedestrian delays, and accidents prevention are the main optimization goals of the system. The proposed architecture is properly documented whereas specific use case scenarios and implementation issues are presented and analyzed.

References

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Pengfei Hu, Sahraoui Dhelim, Huansheng Ning, and Tie Qiu. 2017. Survey on Fog Computing. Journal of Network and Computer Applications, Volume 98, Issue C, https://doi.org/10.1016/j.jnca.2017.09.002.
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Celso A.R.L. Brennand, Geraldo P. Rocha Filho, Guilherme Maia, Felipe Cunha, Daniel L. Guidoni, and Leandro A. Villas. 2019. Towards a Fog-Enabled Intelligent Transportation System to Reduce Traffic Jam. Sensors (Basel). 2019 Sep; 19(18): 3916.
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PCI '20: Proceedings of the 24th Pan-Hellenic Conference on Informatics
November 2020
433 pages
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Association for Computing Machinery

New York, NY, United States

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Published: 04 March 2021

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Author Tags

  1. Fog computing
  2. Intelligent traffic light system
  3. Internet of things

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PCI 2020
PCI 2020: 24th Pan-Hellenic Conference on Informatics
November 20 - 22, 2020
Athens, Greece

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