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 …
flow prediction plays an important role in intelligent transportation management and route …
Short-term traffic flow prediction with LSTM recurrent neural network
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 …
transportation management and control. Traffic flow prediction has a long history and is still …
Traffic flow prediction with long short-term memory networks (LSTMs)
H Shao, BH Soong - 2016 IEEE region 10 conference …, 2016 - ieeexplore.ieee.org
Accurate traffic flow information is crucial for an intelligent transportation system
management and deployment. Over the past few years, many existing models have been …
management and deployment. Over the past few years, many existing models have been …
[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 …
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 …
prediction has become an important research direction. The memory unit of a Long Short …
Data-driven short-term forecasting for urban road network traffic based on data processing and LSTM-RNN
W Xiangxue, X Lunhui, C Kaixun - Arabian Journal for Science and …, 2019 - Springer
A short-term traffic flow prediction framework is proposed for urban road networks based on
data-driven methods that mainly include two modules. The first module contains a set of …
data-driven methods that mainly include two modules. The first module contains a set of …
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 …
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …
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 …
transportation systems. It plays an important role in traffic information service and traffic …
Short‐term traffic speed forecasting based on attention convolutional neural network for arterials
Q Liu, B Wang, Y Zhu - Computer‐Aided Civil and Infrastructure …, 2018 - Wiley Online Library
As an important part of the intelligent transportation system (ITS), short‐term traffic prediction
has become a hot research topic in the field of traffic engineering. In recent years, with the …
has become a hot research topic in the field of traffic engineering. In recent years, with the …
Short-term travel time prediction by deep learning: A comparison of different LSTM-DNN models
Y Liu, Y Wang, X Yang, L Zhang - 2017 IEEE 20th international …, 2017 - ieeexplore.ieee.org
Predicting short-term travel time with considerable accuracy and reliability is critically
important for advanced traffic management and route planning in Intelligent Transportation …
important for advanced traffic management and route planning in Intelligent Transportation …