Predicting urban rail traffic passenger flow based on LSTM

H Huang, T Wang, J Liu, S Xie - 2019 IEEE 3rd Information …, 2019 - ieeexplore.ieee.org
Accuracy is important in Urban Mass Transit System (UMTS), especially for traffic control.
Traffic passenger flow prediction has a long history and is still a difficult problem due to …

Passenger flow prediction in traffic system based on deep neural networks and transfer learning method

Y Ren, X Chen, S Wan, K Xie… - 2019 4th International …, 2019 - ieeexplore.ieee.org
Nowadays, many problems have arisen during the rapid development of our traffic systems,
such as crowd congestion, traffic accident, imbalance use of infrastructures, etc. By …

Prediction of passenger flow in urban rail transit based on big data analysis and deep learning

K Zhu, P Xun, W Li, Z Li, R Zhou - IEEE Access, 2019 - ieeexplore.ieee.org
Passenger flow prediction is the key to operation efficiency and safety of urban rail transit
(URT). This paper combines the deep learning (DL) theory and support vector machine …

[HTML][HTML] Short-term passenger flow prediction of urban rail transit based on a combined deep learning model

Z Hou, Z Du, G Yang, Z Yang - Applied Sciences, 2022 - mdpi.com
It is difficult for a single model to simultaneously capture the nonlinear, correlation, and
periodicity of data series in the passenger flow prediction of urban rail transit (URT). To …

[HTML][HTML] Short-term prediction of bus passenger flow based on a hybrid optimized LSTM network

Y Han, C Wang, Y Ren, S Wang, H Zheng… - … international journal of …, 2019 - mdpi.com
The accurate prediction of bus passenger flow is the key to public transport management
and the smart city. A long short-term memory network, a deep learning method for modeling …

Short-term metro passenger flow prediction based on random forest and LSTM

S Lin, H Tian - 2020 IEEE 4th Information Technology …, 2020 - ieeexplore.ieee.org
Rapid and accurate short-term passenger flow prediction plays an important and far-
reaching role in passenger flow control and early warning. In fact, the short-term passenger …

[HTML][HTML] Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices

JL Wu, M Lu, CY Wang - Applied Intelligence, 2023 - Springer
In the rapid development of public transportation led, the traffic flow prediction has become
one of the most crucial issues, especially estimating the number of passengers using the …

Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow

W Lu, Y Zhang, P Li, T Wang - Engineering Applications of Artificial …, 2023 - Elsevier
It is critical for the management and control of urban rail transit (URT) to be able to predict
passenger flow accurately and in real time. Considering that the high-resolution data …

[HTML][HTML] Passenger flow prediction of urban rail transit based on deep learning methods

Z Xiong, J Zheng, D Song, S Zhong, Q Huang - Smart Cities, 2019 - mdpi.com
The rapid development of urban rail transit brings high efficiency and convenience. At the
same time, the increasing passenger flow also remarkably increases the risk of emergencies …

Deep irregular convolutional residual LSTM for urban traffic passenger flows prediction

B Du, H Peng, S Wang, MZA Bhuiyan… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Urban traffic passenger flows prediction is practically important to facilitate many real
applications including transportation management and public safety. Recently, deep …