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Arrival Information-Guided Spatiotemporal Prediction of Transportation Hub Passenger Distribution

https://doi.org/10.2139/ssrn.4824822
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inferredcites →https://doi.org/10.1007/s11116-023-10385-1openalex-extracted
Comparative analysis of deep-learning-based models for hourly bus passenger flow forecasting
inferredcites →https://doi.org/10.1007/s11227-020-03428-2openalex-extracted
Forecasting air passenger traffic flow based on the two-phase learning model
inferredcites →https://doi.org/10.1016/j.eswa.2022.117921openalex-extracted
Graph neural network for traffic forecasting: A survey
inferredcites →https://doi.org/10.1016/j.jtrangeo.2024.103855openalex-extracted
Characterising travel behaviour patterns of transport hub station area users using mobile phone data
inferredcites →https://doi.org/10.1016/j.patcog.2010.09.022openalex-extracted
Weighted dynamic time warping for time series classification
inferredcites →https://doi.org/10.1016/j.physa.2021.125838openalex-extracted
Short-term demand forecasting for online car-hailing using ConvLSTM networks
inferredcites →https://doi.org/10.1016/j.tourman.2013.10.008openalex-extracted
Forecasting of Hong Kong airport's passenger throughput
inferredcites →https://doi.org/10.1016/j.trc.2017.10.016openalex-extracted
Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach
inferredcites →https://doi.org/10.1016/j.trc.2019.01.027openalex-extracted
DeepPF: A deep learning based architecture for metro passenger flow prediction
inferredcites →https://doi.org/10.1016/j.trc.2019.09.008openalex-extracted
An effective spatial-temporal attention based neural network for traffic flow prediction
inferredcites →https://doi.org/10.1016/j.trc.2020.102639openalex-extracted
A residual spatio-temporal architecture for travel demand forecasting
inferredcites →https://doi.org/10.1016/j.trc.2022.103854openalex-extracted
Forecasting the crowd: An effective and efficient neural network for citywide crowd information prediction at a fine spatio-temporal scale
inferredcites →https://doi.org/10.1016/j.trc.2022.103965openalex-extracted
DEASeq2Seq: An attention based sequence to sequence model for short-term metro passenger flow prediction within decomposition-ensemble strategy
inferredcites →https://doi.org/10.1016/j.trc.2024.104640openalex-extracted
A passenger flow spatial–temporal distribution model for a passenger transit hub considering node queuing
inferredcites →https://doi.org/10.1038/s41598-022-06767-7openalex-extracted
Machine learning approach for study on subway passenger flow
inferredcites →https://doi.org/10.1049/iet-its.2020.0396openalex-extracted
LightGBM‐based model for metro passenger volume forecasting
inferredcites →https://doi.org/10.1061/jtepbs.0000010openalex-extracted
Holiday Passenger Flow Forecasting Based on the Modified Least-Square Support Vector Machine for the Metro System
inferredcites →https://doi.org/10.1109/mits.2023.3244935openalex-extracted
Online Car-Hailing Origin-Destination Forecast Based on a Temporal Graph Convolutional Network
inferredcites →https://doi.org/10.1109/tits.2019.2900481openalex-extracted
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction
inferredcites →https://doi.org/10.1109/tits.2019.2935152openalex-extracted
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
inferredcites →https://doi.org/10.1109/tits.2020.3017109openalex-extracted
Short-Term Prediction of Urban Rail Transit Passenger Flow in External Passenger Transport Hub Based on LSTM-LGB-DRS
inferredcites →https://doi.org/10.1109/tits.2022.3148116openalex-extracted
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
inferredcites →https://doi.org/10.1109/tits.2022.3150600openalex-extracted
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
inferredcites →https://doi.org/10.1109/tits.2023.3239309openalex-extracted
Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach
inferredcites →https://doi.org/10.1155/2014/375487openalex-extracted
Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks
inferredcites →https://doi.org/10.1177/0361198118774671openalex-extracted
Analyzing Passenger Travel Demand Related to the Transportation Hub inside a City Area using Mobile Phone Data
inferredcites →https://doi.org/10.1177/03611981221112673openalex-extracted
Short-Term Passenger Flow Prediction Using a Bus Network Graph Convolutional Long Short-Term Memory Neural Network Model
inferredcites →https://doi.org/10.1214/aos/1069362747openalex-extracted
Alignment of curves by dynamic time warping
inferredcites →https://doi.org/10.1287/isre.2021.1072openalex-extracted
Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data
inferredcites →https://doi.org/10.32604/iasc.2023.039132openalex-extracted
Railway Passenger Flow Forecasting by Integrating Passenger Flow Relationship and Spatiotemporal Similarity
inferredcites →https://doi.org/10.3390/app13010637openalex-extracted
LSTM-Based Transformer for Transfer Passenger Flow Forecasting between Transportation Integrated Hubs in Urban Agglomeration
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