사물인터넷융복합논문지 (Journal of Internet of Things and Convergence)

한국사물인터넷학회 (The Korea Internet of Things Society)
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실시간 대중교통 모니터링 시스템 구현

Implementation of a real-time public transportation monitoring system

  • 오은서 (국립부경대학교 컴퓨터.인공지능공학부) ;
  • 권소령 (국립부경대학교 컴퓨터.인공지능공학부) ;
  • 오정민 (국립부경대학교 컴퓨터.인공지능공학부) ;
  • 펑보 (국립부경대학교 인공지능융합학과) ;
  • 김태국 (국립부경대학교 컴퓨터.인공지능공학부)
  • Eun-seo Oh (Computer and Artificial Intelligence Engineering, Pukyong National University) ;
  • So-ryeong Gwon (Computer and Artificial Intelligence Engineering, Pukyong National University) ;
  • Joung-min Oh (Computer and Artificial Intelligence Engineering, Pukyong National University) ;
  • Bo Peng (School of Artificial Intelligence Convergence, Pukyong National University) ;
  • Tae-kook Kim (School of Computer and Artificial Intelligence Engineering, Pukyong National University)
  • 투고 : 2024.07.03
  • 심사 : 2024.08.13
  • 발행 : 2024.08.31
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초록

본 논문에서는 실시간 대중교통 모니터링 시스템을 제안하였다. 제안한 연구는 대중교통 앱(App)을 제작하고, 광센서, 압력 센서, 객체검출 알고리즘을 활용하여 구현하였다. 또한, 버스 모형을 제작하여 동작을 검증하였다. 제안한 실시간 대중교통 모니터링 시스템은 다음과 같이 3가지 특징을 가진다. 첫째, 광센서와 압력 센서의 값의 변화에 따라 좌석의 착석 여부와 총 승객 인원을 파악하여 앱에서 대중교통 내부의 혼잡도를 확인할 수 있도록 구현하였다. 둘째, 다수의 승객이 동시에 승하차할 때 발생할 수 있는 광센서의 오차를 방지하기 위해, 객체검출 알고리즘인 YOLO를 활용하여 CCTV 승객 수 확인 가능성을 확인하였다. 셋째, 별도의 화면에서 탑승할 버스 내의 좌석이 착석된 경우를 색깔로 표시함으로써 편의를 제공한다. 승객의 현재 위치 확인, 현 위치에서 탑승 가능한 대중교통 및 도착 잔여 시간도 확인 가능하다. 따라서 제안한 시스템은 대중교통 이용객들에게 보다 높은 편의성을 제공할 수 있을 것으로 기대한다.

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.

키워드

과제정보

이 논문은 2023학년도 국립부경대학교 산학협력단의 지원을 받아 수행된 연구임(202311680001).

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