Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm
Author:
Funder
Natural Science Foundation of Beijing Municipality
National Natural Science Foundation of China
Higher Education Discipline Innovation Project
Publisher
Elsevier BV
Reference36 articles.
1. Influence of weather conditions on transit ridership: A statistical study using data from smartcards;Arana;Transportation Research Part A: Policy and Practice,2014
2. Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach;Bao;Expert Systems With Applications,2022
3. Incorporating activity duration and scheduling utility into equilibrium-based dynamic traffic assignment;Cantelmo;Transportation Research Part B: Methodological,2019
4. Incorporating trip chaining within online demand estimation;Cantelmo;Transportation Research Part B: Methodological,2020
5. Short-term forecast of OD passenger flow based on ensemble empirical mode decomposition;Cao;Sustainability,2022
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