Article: A novel approach for real-time monitoring and counting of metro passenger and vehicle flow Journal: International Journal of Sensor Networks (IJSNET) 2024 Vol.46 No.3 pp.176 - 185 Abstract: Accurate passenger flow information systems are key to ensuring efficient metro operations and passenger safety. To address the constraints of conventional metro passenger flow information systems, which suffer from inaccuracies in data collection and the inability to capture real-time changes in passenger flow effectively, a novel approach utilising image processing is suggested. This method monitors and accurately counts passenger and vehicle flow surrounding metro stations in real-time. This paper describes the proposed image processing method, including target detection, tracking, and counting techniques. Using data collected from high-definition cameras, this study applies advanced image processing algorithms to ensure the reliability and validity of passenger and vehicle flow monitoring results. Research has shown that the latest technique has the potential to greatly enhance the precision and tallying exactness. This enhancement can boost accuracy to over 95% when juxtaposed with older, conventional algorithms. The study not only provides a new technical solution for the metro passenger flow information system, which helps to improve the safety and efficiency of metro operation but also can provide passengers with better and more convenient travelling services and provides strong support for promoting the modernisation and intelligent development of metro operation and management. Inderscience Publishers - linking academia, business and industry through research

Title: A novel approach for real-time monitoring and counting of metro passenger and vehicle flow

Authors: Cong Huang; Ying Huang

Addresses: School of General Education, Liuzhou Railway Vocational Technical College, Guangxi, China ' School of Automobile and Information Engineering, Guangxi Eco-engineering Vocational and Technical College, Guangxi, China

Abstract: Accurate passenger flow information systems are key to ensuring efficient metro operations and passenger safety. To address the constraints of conventional metro passenger flow information systems, which suffer from inaccuracies in data collection and the inability to capture real-time changes in passenger flow effectively, a novel approach utilising image processing is suggested. This method monitors and accurately counts passenger and vehicle flow surrounding metro stations in real-time. This paper describes the proposed image processing method, including target detection, tracking, and counting techniques. Using data collected from high-definition cameras, this study applies advanced image processing algorithms to ensure the reliability and validity of passenger and vehicle flow monitoring results. Research has shown that the latest technique has the potential to greatly enhance the precision and tallying exactness. This enhancement can boost accuracy to over 95% when juxtaposed with older, conventional algorithms. The study not only provides a new technical solution for the metro passenger flow information system, which helps to improve the safety and efficiency of metro operation but also can provide passengers with better and more convenient travelling services and provides strong support for promoting the modernisation and intelligent development of metro operation and management.

Keywords: metro passenger flow information system; image processing techniques; passenger flow monitoring; vehicle flow monitoring.

DOI: 10.1504/IJSNET.2024.142514

International Journal of Sensor Networks, 2024 Vol.46 No.3, pp.176 - 185

Received: 29 Mar 2024
Accepted: 10 Apr 2024
Published online: 05 Nov 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article

Title: A novel approach for real-time monitoring and counting of metro passenger and vehicle flow

Keep up-to-date