Open Access
Issue
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
Article Number 01010
Number of page(s) 7
Section AI-Integrated Physics, Technology, and Engineering
DOI https://doi.org/10.1051/epjconf/202534401010
Published online 22 December 2025
  1. Z. Zhang, Z. Niu, Y. Liu, Y. Li, Adaptive analysis of freeway off-ramps incorporating heterogeneous traffic flows. Infrastructures. 10, 4 (2025). https://doi.org/10.3390/infrastructures10040088 [Google Scholar]
  2. S. Syaiful, D. Maulani, D. Megawati, R. Gibran, A. K. Wardhani, Engineering model on traffic volume at bocimi toll gate. Journal of Applied Engineering Science. 23, 1, 99–111 (2025). https://doi.org/10.5937/jaes0-54055 [Google Scholar]
  3. M. Fattah, S. R. Morshed, A. A. Kafy, Insights into the socio-economic impacts of traffic congestion in the port and industrial areas of Chittagong city, Bangladesh. Transportation Engineering. 9 (2022). https://doi.org/10.1016/j.treng.2022.100122 [Google Scholar]
  4. X. Ye, X. Wang, S. D. Cafiso, A. Gracia, Readiness Evaluation of Freeways for Lane-Detection Performance of Lidar-Based Automated Vehicles: A Field Test Analysis. IEEE Transactions on Intelligent Transportation Systems. (2025). https://doi.org/10.1109/TITS.2025.3568591 [Google Scholar]
  5. U. Wiharja, S. Hartanto, Power and Waiting Time Efficiency at Automatic Toll Gates with the Contactless Card Payment Implementation. 42, 1 (2025). https://doi.org/10.29037/2224-9028.1605 [Google Scholar]
  6. M. S. Vineetha et al,System for Automatic Toll Collection Using Image Processing and Raspberry PI. Lecture Notes in Network and Systems. (2025). https://doi.org/10.1007/978-3-031-88992-9_35 [Google Scholar]
  7. K. A. Tureta, A. Sabo, Y. Abdulrazak, Optimal Placement of Phasor Measurement Units on Shiroro 330 kV Grid Network using Binary Grey Wolf Optimization Algorithm. Vokasi Unesa Bull. Eng. Technol. Appl. Sci. 2, 3, 444–459 (2025). https://doi.org/10.26740/vubeta.v2i3.38936 [Google Scholar]
  8. G. Oise, Enhancing Indoor Positioning Accuracy with Ant Colony Optimization and Dual Clustering. Vokasi Unesa Bull. Eng. Technol. Appl. Sci. 2, 3, 516–530 (2025). https://doi.org/10.26740/vubeta.v2i3.39452 [Google Scholar]
  9. M. Ajuji, M. Dawaki, A. Mohammed, A. Ahmad, Estimating Residential Natural Gas Demand and Consumption: A Hybrid Ensemble Machine Learning Approach. Vokasi Unesa Bull. Eng. Technol. Appl. Sci. 2, 3, 549–557 (2025). https://doi.org/10.26740/vubeta.v2i3.40135 [Google Scholar]
  10. Y. Zhang, Z. Guo, J. Wu, Y. Tian, H. Tang, X. Guo, Real-Time Vehicle Detection Based on Improved YOLO v5. Sustainability. 14, 19 (2022). https://doi.org/10.3390/su141912274 [Google Scholar]
  11. M. Manjusha, R. Niveditha, V. Sunitha, Estimation of YOLO algorithms for extracting traffic data using UAV and stationary camera. Innovative Infrastructure. 10, 4 (2025). https://doi.org/10.1007/s41062-025-01898-y [Google Scholar]
  12. P. P. Singh, S. Prasad, G. Kalita, J. Das, P. J. Mahanta, Light Weighted YOLO Vehicle Tracker for Toll Gate Using Centroid Algorithm. Lecture Notes in Electrical Engineering. (2025). https://doi.org/10.1007/978-981-97-3090-2_16 [Google Scholar]
  13. T. Sanislav, G. D. Mois, S. Zeadally, S. C. Folea, Energy Harvesting Techniques for Internet of Things (IoT). IEEE Access. 9, 39530–39549 (2021). https://doi.org/10.1109/ACCESS.2021.3064066 [Google Scholar]
  14. S. Karthikeyan, R. A. Raj, M. V. Cruz, L. Chen, J. L. A. Vishal, V. S. Rohith., A Systematic Analysis on Raspberry Pi Prototyping: Uses, Challenges, Benefits, and Drawbacks. IEEE Internet of Things Journal. 10, 16, 14397–14417 (2023). https://doi.org/10.1109/JIOT.2023.3262942 [Google Scholar]
  15. L. Profetto, M. Gherardelli, E. Iadanza, Radio Frequency Identification (RFID) in health care: where are we? A scoping review. Health Technology. 12, 5, 879–891 (2022). https://doi.org/10.1007/s12553-022-00696-1 [Google Scholar]
  16. K. Mazumemdar, A. Ghosh, P. Singh, S. Peddakrishna, J. Kumar, RFID Antenna Deployment Model and Anti-Collision Algorithms to Enhance Vehicle Toll System Efficiency. Electronics (Switzerland). 14, 7. https://doi.org/10.3390/electronics14071404 [Google Scholar]
  17. X. Zhang, Design and optimization of high- precision servo control system in precision positioning technology. Applied Mathematics and Nonlinear Sciences. 9, 1 (2024). https://doi.org/10.2478/amns-2024-2958 [Google Scholar]
  18. S. Chandrappa, M. S. Guruprasad, H. N. N. Kumar, K. Raju, D. K. S. Kumar, An IoT-Based Automotive and Intelligent Toll Gate Using RFID. SN Computer Science. 4, 2 (2023). https://doi.org/10.1007/s42979-022-01569-0 [Google Scholar]
  19. A. Kumar, N. Katal, A Lightweight YOLO Model for Detection of Disease from Optic Disc Region of Eye Fundus Imagery. Sensing and Imaging. 26, 1 (2025). https://doi.org/10.1007/s11220-025-00575- 9 [Google Scholar]
  20. M. L. Ali, Z. Zhang, The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection. Computers. 13, 12 (2024). https://doi.org/10.3390/computers13120336 [Google Scholar]
  21. X. Huang et al., SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments. Scientific Reports. 15, 1 (2025). https://doi.org/10.1038/s41598-025-86593-9 [CrossRef] [PubMed] [Google Scholar]
  22. E. H. Muchtar et al., Quick response code Indonesia standard (QRIS) E-payment adoption: customers perspective. Cogent Business and Management. 11, 1 (2024). https://doi.org/10.1080/23311975.2024.2316044 [Google Scholar]
  23. M. Hisyam, I. B. K. Manuaba., Integration Model of Multiple Payment Gateways for Online Split Payment Scenario. International Conference on Information Management and Technology, 122–126 (2022). https://doi.org/10.1109/ICIMTech55957.2022.9915168 [Google Scholar]
  24. A. Morchid et al., IoT-enabled fire detection for sustainable agriculture: A real-time system using flask and embedded technologies. Results in Engineering. 23 (2024). https://doi.org/10.1016/j.rineng.2024.102705 [Google Scholar]

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