[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 …

A short-term traffic flow prediction model based on an improved gate recurrent unit neural network

W Shu, K Cai, NN Xiong - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
With the increasing demand for intelligent transportation systems, short-term traffic flow
prediction has become an important research direction. The memory unit of a Long Short …

Short-term traffic flow prediction with LSTM recurrent neural network

D Kang, Y Lv, Y Chen - 2017 IEEE 20th international …, 2017 - ieeexplore.ieee.org
Accurate and timely short-term traffic flow prediction plays an important role in intelligent
transportation management and control. Traffic flow prediction has a long history and is still …

[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 …

Short-term traffic flow prediction using the modified elman recurrent neural network optimized through a genetic algorithm

A Sadeghi-Niaraki, P Mirshafiei, M Shakeri… - IEEE …, 2020 - ieeexplore.ieee.org
Traffic stream determining is an essential part of the intelligent transportation management
system. Precise prediction of traffic flow provides a basis for other tasks, like forecasting …

An interpretable model for short term traffic flow prediction

W Wang, H Zhang, T Li, J Guo, W Huang, Y Wei… - … and Computers in …, 2020 - Elsevier
Predicting short term traffic flow to improve traffic control is a research problem attracting
increased attention over the past 30 years. With increasing number of traffic data acquisition …

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 …

Predicting short-term traffic flow by long short-term memory recurrent neural network

Y Tian, L Pan - 2015 IEEE international conference on smart …, 2015 - ieeexplore.ieee.org
Intelligent Transportation System (ITS) is a significant part of smart city, and short-term traffic
flow prediction plays an important role in intelligent transportation management and route …

[HTML][HTML] Spatiotemporal traffic flow prediction with KNN and LSTM

X Luo, D Li, Y Yang, S Zhang - Journal of Advanced Transportation, 2019 - hindawi.com
The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …

An algorithm for traffic flow prediction based on improved SARIMA and GA

X Luo, L Niu, S Zhang - KSCE Journal of Civil Engineering, 2018 - Springer
The traffic flow prediction plays a key role in modern Intelligent Transportation Systems (ITS).
Although great achievements have been made in traffic flow prediction, it is still a challenge …