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پیشنهاد مدل دوقلوی دیجیتال برای بهبود مدیریت بهره‌برداری در ایستگاه مترو
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پیشنهاد مدل دوقلوی دیجیتال برای بهبود مدیریت بهره‌برداری در ایستگاه مترو

ابراهیمی پوراسعد، غزال Ebrahimi Pourasad, Ghazaal

A Proposed Digital Twin Model for Enhancing Operational Management in Subway Stations

Ebrahimi Pourasad, Ghazaal | 2026

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58856 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Alvanchi, Amin
  7. Abstract:
  8. Subway stations increasingly face challenges related to excessive passenger congestion, complex pedestrian flow management, and inadequate integration with complementary transport modes such as buses and taxis. The absence of accurate and real-time congestion data often leads to operational decisions based on approximate assessments and conventional monitoring approaches. To address these limitations, this study proposes a Digital Twin–based framework for improving subway station operation management. The proposed framework comprises three integrated layers: physical, data processing, and digital. Visual data are collected from surveillance cameras and processed using computer vision techniques to enable real-time and cumulative passenger counting. The processed data are then linked to a three-dimensional BIM model, where congestion levels and space capacity conditions are visualized through a color-coded scheme (green, yellow, and red), providing intuitive decision support for operators. The model was developed incrementally using an agile Kanban-based approach and evaluated through multiple operational scenarios. Qualitative validation was conducted through expert feedback from Tehran Subway managers. The results demonstrate the feasibility, effectiveness, and practical applicability of the proposed framework under real-world conditions in high-demand subway stations
  9. Keywords:
  10. Digital Twin ; Computer Vision ; Building Information Modeling ; Metro Stations ; Passengers Flow ; Operational Performance

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