[HTML][HTML] Hybrid LSTM neural network for short-term traffic flow prediction

Y Xiao, Y Yin - Information, 2019 - mdpi.com
The existing short-term traffic flow prediction models fail to provide precise prediction results
and consider the impact of different traffic conditions on the prediction results in an actual …

T-LSTM: A long short-term memory neural network enhanced by temporal information for traffic flow prediction

L Mou, P Zhao, H Xie, Y Chen - Ieee Access, 2019 - ieeexplore.ieee.org
Short-term traffic flow prediction is one of the most important issues in the field of intelligent
transportation systems. It plays an important role in traffic information service and traffic …

LSTM training set analysis and clustering model development for short-term traffic flow prediction

E Doğan - Neural Computing and Applications, 2021 - Springer
Long short-term memory (LSTM) is becoming increasingly popular in the short-term flow. In
order to develop high-quality prediction models, it is worth investigating the LSTM potential …

[HTML][HTML] Multi-section traffic flow prediction based on MLR-LSTM neural network

R Shi, L Du - Sensors, 2022 - mdpi.com
As the aggravation of road congestion leads to frequent traffic crashes, it is necessary to
relieve traffic pressure through traffic flow prediction. As well, the traffic flow of the target road …

Deep bi-directional long short-term memory model for short-term traffic flow prediction

J Wang, F Hu, L Li - … , ICONIP 2017, Guangzhou, China, November 14–18 …, 2017 - Springer
Short-term traffic flow prediction plays an important role in intelligent transportation system.
Numerous researchers have paid much attention to it in the past decades. However, the …

[HTML][HTML] Short-term traffic flow prediction: a method of combined deep learnings

C Ren, C Chai, C Yin, H Ji, X Cheng, G Gao… - Journal of Advanced …, 2021 - hindawi.com
Short-term traffic flow prediction can provide a basis for traffic management and support for
travelers to make decisions. Accurate short-term traffic flow prediction also provides …

Short-term traffic flow prediction for urban road sections based on time series analysis and LSTM_BILSTM method

C Ma, G Dai, J Zhou - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The real-time performance and accuracy of traffic flow prediction directly affect the efficiency
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …

[HTML][HTML] A combined method for short-term traffic flow prediction based on recurrent neural network

S Lu, Q Zhang, G Chen, D Seng - Alexandria Engineering Journal, 2021 - Elsevier
The accurate prediction of real-time traffic flow is indispensable to intelligent transport
systems. However, the short-term prediction remains a thorny issue, due to the complexity …

[HTML][HTML] An autoencoder and LSTM-based traffic flow prediction method

W Wei, H Wu, H Ma - Sensors, 2019 - mdpi.com
Smart cities can effectively improve the quality of urban life. Intelligent Transportation System
(ITS) is an important part of smart cities. The accurate and real-time prediction of traffic flow …

[HTML][HTML] The traffic flow prediction method using the incremental learning-based CNN-LTSM model: the solution of mobile application

Y Shao, Y Zhao, F Yu, H Zhu, J Fang - Mobile Information Systems, 2021 - hindawi.com
With the acceleration of urbanization and the increase in the number of motor vehicles, more
and more social problems such as traffic congestion have emerged. Accordingly, efficient …