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Implementation of a real-time public transportation monitoring system

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(4), pp.9-19
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : July 3, 2024
  • Accepted : August 13, 2024
  • Published : August 31, 2024

Eun-seo Oh 1 So-ryeong Gwon 1 Joung-min Oh 1 Bo Peng 1 KIM, TAEKOOK 1

1국립부경대학교

Accredited

ABSTRACT

In this paper, a real-time public transportation monitoring system is proposed. The proposed system was implemented by developing a public transportation app and utilizing optical sensors, pressure sensors, and an object detection algorithm. Additionally, a bus model was created to verify the system's functionality. The proposed real-time public transportation monitoring system has three key features. First, the app can monitor congestion levels within public transportation by detecting seat occupancy and the total number of passengers based on changes in optical and pressure sensor readings. Second, to prevent errors in the optical sensor that can occur when multiple passengers board or disembark simultaneously, we explored the possibility of using the YOLO object detection algorithm to verify the number of passengers through CCTV footage. Third, convenience is enhanced by displaying occupied seats in different colors on a separate screen. The system also allows users to check their current location, available public transportation options, and remaining time until arrival. Therefore, the proposed system is expected to offer greater convenience to public transportation users.

Citation status

* References for papers published after 2023 are currently being built.