Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation Management
Introduction. The study aims to analyze modern automatic passenger counting methods in public transport. The study addresses the pressing issue of passenger flow counting in public transport using modern technologies such as video surveillance, infrared sensors, and LiDAR.Materials and Methods. An o...
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| Format: | Article |
| Language: | Russian |
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Siberian State Automobile and Highway University
2025-04-01
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| Series: | Вестник СибАДИ |
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| Online Access: | https://vestnik.sibadi.org/jour/article/view/1995 |
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| _version_ | 1849343073567375360 |
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| author | Andrei D. Plakhtii Denis S. Korchagin |
| author_facet | Andrei D. Plakhtii Denis S. Korchagin |
| author_sort | Andrei D. Plakhtii |
| collection | DOAJ |
| description | Introduction. The study aims to analyze modern automatic passenger counting methods in public transport. The study addresses the pressing issue of passenger flow counting in public transport using modern technologies such as video surveillance, infrared sensors, and LiDAR.Materials and Methods. An overview of technologies is provided, including sensors, cameras, LiDAR, and RFID, along with analysis methods based on theoretical and empirical approaches. Information from development companies is used to compare the accuracy of technologies in real-world conditions.Results. The comparison results indicate that LiDAR and cameras with machine learning offer the highest accuracy, particularly in high passenger density scenarios. Wi-Fi and Bluetooth-based technologies have limited accuracy, but combined solutions can overcome their drawbacks.Discussions and Conclusions. The conclusion emphasizes that LiDAR and video surveillance with machine learning are the most effective for accurate passenger counting. Further testing of combined technologies and the development of flexible systems are recommended, along with innovative approaches in neural network training to enhance accuracy. |
| format | Article |
| id | doaj-art-9446bef415484e049ff9cd267df7eb00 |
| institution | Kabale University |
| issn | 2071-7296 2658-5626 |
| language | Russian |
| publishDate | 2025-04-01 |
| publisher | Siberian State Automobile and Highway University |
| record_format | Article |
| series | Вестник СибАДИ |
| spelling | doaj-art-9446bef415484e049ff9cd267df7eb002025-08-20T03:43:10ZrusSiberian State Automobile and Highway UniversityВестник СибАДИ2071-72962658-56262025-04-0122223824710.26518/2071-7296-2025-22-2-238-247930Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation ManagementAndrei D. Plakhtii0Denis S. Korchagin1St. Petersburg State UniversityFederal State Budgetary Educational Institution of Higher Education “Saint Petersburg State University of Architecture and Civil Engineering”; Modern Technologies LLCIntroduction. The study aims to analyze modern automatic passenger counting methods in public transport. The study addresses the pressing issue of passenger flow counting in public transport using modern technologies such as video surveillance, infrared sensors, and LiDAR.Materials and Methods. An overview of technologies is provided, including sensors, cameras, LiDAR, and RFID, along with analysis methods based on theoretical and empirical approaches. Information from development companies is used to compare the accuracy of technologies in real-world conditions.Results. The comparison results indicate that LiDAR and cameras with machine learning offer the highest accuracy, particularly in high passenger density scenarios. Wi-Fi and Bluetooth-based technologies have limited accuracy, but combined solutions can overcome their drawbacks.Discussions and Conclusions. The conclusion emphasizes that LiDAR and video surveillance with machine learning are the most effective for accurate passenger counting. Further testing of combined technologies and the development of flexible systems are recommended, along with innovative approaches in neural network training to enhance accuracy.https://vestnik.sibadi.org/jour/article/view/1995passenger flowautomatic countingpublic transporttransport analyticstransport managementsmart systems |
| spellingShingle | Andrei D. Plakhtii Denis S. Korchagin Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation Management Вестник СибАДИ passenger flow automatic counting public transport transport analytics transport management smart systems |
| title | Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation Management |
| title_full | Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation Management |
| title_fullStr | Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation Management |
| title_full_unstemmed | Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation Management |
| title_short | Review and Selection of Methods for Automated Passenger Counting on Public Land Transport for Effective Transportation Management |
| title_sort | review and selection of methods for automated passenger counting on public land transport for effective transportation management |
| topic | passenger flow automatic counting public transport transport analytics transport management smart systems |
| url | https://vestnik.sibadi.org/jour/article/view/1995 |
| work_keys_str_mv | AT andreidplakhtii reviewandselectionofmethodsforautomatedpassengercountingonpubliclandtransportforeffectivetransportationmanagement AT denisskorchagin reviewandselectionofmethodsforautomatedpassengercountingonpubliclandtransportforeffectivetransportationmanagement |