Air passenger flow forecasting using nonadditive forecast combination with grey prediction
YC Hu - Journal of Air Transport Management, 2023 - Elsevier
Air passenger flow forecasting plays a critical role in managing air transportation. It is
important to develop accurate methods for forecasting the flow of passengers to formulate …
important to develop accurate methods for forecasting the flow of passengers to formulate …
A deep neural network model with GCN and 3D convolutional network for short‐term metro passenger flow forecasting
X Zhang, C Wang, J Chen… - IET Intelligent Transport …, 2023 - Wiley Online Library
Rail transit has many advantages, such as large passenger capacity, convenience, safety,
and environmental protection, making it the preferred travel mode for most passengers …
and environmental protection, making it the preferred travel mode for most passengers …
Network-wide short-term inflow prediction of the multi-traffic modes system: An adaptive multi-graph convolution and attention mechanism based multitask-learning …
Network-wide short-term inflow prediction is important in efficiently managing the urban
transportation system. Nowadays, all kinds of traffic modes gradually become …
transportation system. Nowadays, all kinds of traffic modes gradually become …
Forecasting the effect of traffic control strategies in railway systems: A hybrid machine learning method
Estimating the impacts of traffic control strategies (TCSs) can provide feedback in traffic
control and help to identify the effective ones among massive strategies, thus boosting …
control and help to identify the effective ones among massive strategies, thus boosting …
Urban rail transit passenger flow prediction with ResCNN-GRU based on self-attention mechanism
C Ma, B Zhang, S Li, Y Lu - Physica A: Statistical Mechanics and its …, 2024 - Elsevier
With the development of modern cities, urban rail transit has become an indispensable part
of residents' travelling mode, and accurate prediction of urban rail transit passenger flow is …
of residents' travelling mode, and accurate prediction of urban rail transit passenger flow is …
Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method
Managing multiple traffic modes cooperatively is becoming increasingly important owing to
the diversity of passenger demands. Short-term passenger flow predictions for multi-traffic …
the diversity of passenger demands. Short-term passenger flow predictions for multi-traffic …
Prediction of short-term passenger flow in the metro station with CNN-LSTM model
Y Sun - 2023 IEEE 3rd International Conference on Electronic …, 2023 - ieeexplore.ieee.org
Nowadays, the overwhelming majority of people choose to go to work during commuting
time, causing great pressure on the traffic system. And methods of effectively predicting the …
time, causing great pressure on the traffic system. And methods of effectively predicting the …
Short-term passenger flow prediction for urban rail systems: A deep learning approach utilizing multi-source big data
H Cui, B Si, D Chi, Y Li, G Li, Y Chen - 2024 - researchsquare.com
Predicting short-term passenger flow in urban rail transit is crucial for intelligent and real-
time management of urban rail systems. This study utilizes deep learning techniques and …
time management of urban rail systems. This study utilizes deep learning techniques and …