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Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting

Mohammed Alatiyyah*

Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 16278, Saudi Arabia

* Corresponding Author: Mohammed Alatiyyah. Email: email

(This article belongs to the Special Issue: Edge Computing in Advancing the Capabilities of Smart Cities)

Computers, Materials & Continua 2024, 79(1), 875-907. https://doi.org/10.32604/cmc.2024.047790

Abstract

In the contemporary era of technological advancement, smartphones have become an indispensable part of individuals’ daily lives, exerting a pervasive influence. This paper presents an innovative approach to passenger counting on buses through the analysis of Wi-Fi signals emanating from passengers’ mobile devices. The study seeks to scrutinize the reliability of digital Wi-Fi environments in predicting bus occupancy levels, thereby addressing a crucial aspect of public transportation. The proposed system comprises three crucial elements: Signal capture, data filtration, and the calculation and estimation of passenger numbers. The pivotal findings reveal that the system demonstrates commendable accuracy in estimating passenger counts under moderate-crowding conditions, with an average deviation of 20% from the ground truth and an accuracy rate ranging from 90% to 100%. This underscores its efficacy in scenarios characterized by moderate levels of crowding. However, in densely crowded conditions, the system exhibits a tendency to overestimate passenger numbers, occasionally doubling the actual count. While acknowledging the need for further research to enhance accuracy in crowded conditions, this study presents a pioneering avenue to address a significant concern in public transportation. The implications of the findings are poised to contribute substantially to the enhancement of bus operations and service quality.

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Cite This Article

APA Style
Alatiyyah, M. (2024). Smartphone-based wi-fi analysis for bus passenger counting. Computers, Materials & Continua, 79(1), 875-907. https://doi.org/10.32604/cmc.2024.047790
Vancouver Style
Alatiyyah M. Smartphone-based wi-fi analysis for bus passenger counting. Comput Mater Contin. 2024;79(1):875-907 https://doi.org/10.32604/cmc.2024.047790
IEEE Style
M. Alatiyyah, "Smartphone-Based Wi-Fi Analysis for Bus Passenger Counting," Comput. Mater. Contin., vol. 79, no. 1, pp. 875-907. 2024. https://doi.org/10.32604/cmc.2024.047790



cc 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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