Does the Inclusion of Spatio-Temporal Features Improve Bus Travel Time Predictions? A Deep Learning-Based Modelling Approach
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- Xiantong Li & Hua Wang & Pengcheng Sun & Hongquan Zu, 2021. "Spatiotemporal Features—Extracted Travel Time Prediction Leveraging Deep-Learning-Enabled Graph Convolutional Neural Network Model," Sustainability, MDPI, vol. 13(3), pages 1-15, January.
- Ceder, Avishai & Wilson, Nigel H. M., 1986. "Bus network design," Transportation Research Part B: Methodological, Elsevier, vol. 20(4), pages 331-344, August.
- Ahern, Zeke & Paz, Alexander & Corry, Paul, 2022. "Approximate multi-objective optimization for integrated bus route design and service frequency setting," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 1-25.
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- Song Liu & Wenting Lin & Yue Wang & Dennis Z. Yu & Yong Peng & Xianting Ma, 2024. "Convolutional Neural Network-Based Bidirectional Gated Recurrent Unit–Additive Attention Mechanism Hybrid Deep Neural Networks for Short-Term Traffic Flow Prediction," Sustainability, MDPI, vol. 16(5), pages 1-15, February.
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Keywords
bus travel time prediction; deep learning; spatio-temporal; smart card;All these keywords.
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