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Live Data Analytics with IoT Intelligence-Sensing System in Public Transportation for COVID-19 Pandemic

Abdullah Alamri1,*, Sultan Alamri2

1 College of Computer Science and Engineering, University of Jeddah, Saudi Arabia
2 College of Computing and Informatics, Saudi Electronic University, Saudi Arabia

* Corresponding Author: Abdullah Alamri. Email: email

(This article belongs to the Special Issue: Soft Computing Technologies for COVID 19 Assessment, Analysis and Control)

Intelligent Automation & Soft Computing 2021, 27(2), 441-452. https://doi.org/10.32604/iasc.2021.015198

Abstract

The COVID-19 pandemic has presented an unprecedented challenge to the entire world. It is a humanitarian crisis on a global scale. The virus continues to spread throughout nations, putting health systems under enormous pressure in the battle to save lives. With this growing crisis, companies and researchers worldwide are searching for ways to overcome the challenges associated with this virus. Also, the transport sector will play a critical role in revitalizing economies while simultaneously containing the spread of COVID-19. As the virus is still circulating, the only solution is to redesign public transportation to make people feel safe. In this paper, we have proposed a system based on computer vision and IoT sensor infrared technology with live data analytics. The proposed system is capable of gathering, storing, analyzing, processing, and handling the vast amount of data produced by the IoT sensors, and provides the users with real-time information on potential events affecting public transport, thereby enabling users to make well-informed and timely decisions. The evaluation showed that, despite the complexity of the system, it performs well.

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APA Style
Alamri, A., Alamri, S. (2021). Live data analytics with iot intelligence-sensing system in public transportation for COVID-19 pandemic. Intelligent Automation & Soft Computing, 27(2), 441-452. https://doi.org/10.32604/iasc.2021.015198
Vancouver Style
Alamri A, Alamri S. Live data analytics with iot intelligence-sensing system in public transportation for COVID-19 pandemic. Intell Automat Soft Comput . 2021;27(2):441-452 https://doi.org/10.32604/iasc.2021.015198
IEEE Style
A. Alamri and S. Alamri, “Live Data Analytics with IoT Intelligence-Sensing System in Public Transportation for COVID-19 Pandemic,” Intell. Automat. Soft Comput. , vol. 27, no. 2, pp. 441-452, 2021. https://doi.org/10.32604/iasc.2021.015198

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cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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