Optimizing Public Transport with Real-Time Passenger Analytics
收藏Zenodo2025-11-01 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.17503393
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资源简介：
This dataset collection supports the paper titled Optimizing Public Transport with Real-Time Passenger Analytics, accepted for publication in Transportation Research Procedia (TS2025). The datasets include anonymized bus and station passenger records collected through Automatic Passenger Counting (APC) sensors, complemented by contextual variables. These datasets enabled the analysis of multimodal dependencies and demand forecasting through statistical, machine learning, and deep learning models.
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Zenodo创建时间：
2025-11-01
