DeepPF: A deep learning based architecture for metro passenger flow prediction
This study aims to combine the modeling skills of deep learning and the domain knowledge
in transportation into prediction of metro passenger flow. We present an end-to-end deep …
in transportation into prediction of metro passenger flow. We present an end-to-end deep …
Deep learning architecture for short-term passenger flow forecasting in urban rail transit
Short-term passenger flow forecasting is an essential component in urban rail transit
operation. Emerging deep learning models provide good insight into improving prediction …
operation. Emerging deep learning models provide good insight into improving prediction …
A novel passenger flow prediction model using deep learning methods
L Liu, RC Chen - Transportation Research Part C: Emerging …, 2017 - Elsevier
Currently, deep learning has been successfully applied in many fields and achieved
amazing results. Meanwhile, big data has revolutionized the transportation industry over the …
amazing results. Meanwhile, big data has revolutionized the transportation industry over the …
An origin–destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism
S Lv, K Wang, H Yang, P Wang - Expert Systems with Applications, 2024 - Elsevier
An accurate origin–destination (OD) passenger flow prediction system is crucially important
for urban metro operation and management. However, there are still lacking targeted …
for urban metro operation and management. However, there are still lacking targeted …
Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system
The accurate short-term passenger flow prediction is of great significance for real-time public
transit management, timely emergency response as well as systematical medium and long …
transit management, timely emergency response as well as systematical medium and long …
Deep learning for short-term origin–destination passenger flow prediction under partial observability in urban railway systems
W Jiang, Z Ma, HN Koutsopoulos - Neural Computing and Applications, 2022 - Springer
Short-term origin–destination (OD) flow prediction is vital for operations planning, control,
and management in urban railway systems. While the entry and exit passenger demand …
and management in urban railway systems. While the entry and exit passenger demand …
Multi‐graph convolutional network for short‐term passenger flow forecasting in urban rail transit
Short‐term passenger flow forecasting is a crucial task for urban rail transit operations.
Emerging deep‐learning technologies have become effective methods used to overcome …
Emerging deep‐learning technologies have become effective methods used to overcome …
Short-term prediction of metro passenger flow with multi-source data: A neural network model fusing spatial and temporal features
X Fu, Y Zuo, J Wu, Y Yuan, S Wang - Tunnelling and Underground Space …, 2022 - Elsevier
Accurate short-term prediction of metro passenger flow can ensure the efficient operation of
metro system and comfort and safety of passengers. Most existing studies use a single data …
metro system and comfort and safety of passengers. Most existing studies use a single data …
DEASeq2Seq: An attention based sequence to sequence model for short-term metro passenger flow prediction within decomposition-ensemble strategy
H Huang, J Mao, W Lu, G Hu, L Liu - Transportation Research Part C …, 2023 - Elsevier
Short-term passenger flow prediction has practical significance for metro management and
operation. However, the complex nonlinear and non-stationary characteristics make it …
operation. However, the complex nonlinear and non-stationary characteristics make it …
STP-TrellisNets+: Spatial-temporal parallel TrellisNets for multi-step metro station passenger flow prediction
The drastic increase of metro passengers in recent years inevitably causes the
overcrowdedness in the metro systems. Accurately predicting passenger flows at metro …
overcrowdedness in the metro systems. Accurately predicting passenger flows at metro …