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 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 …
A hybrid deep learning model with attention-based conv-LSTM networks for short-term traffic flow prediction
Accurate short-time traffic flow prediction has gained gradually increasing importance for
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …
traffic plan and management with the deployment of intelligent transportation systems (ITSs) …
Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
Traffic flow prediction is important for urban planning and traffic congestion alleviation as
well as for intelligent traffic management systems. Due to the periodic characteristics and …
well as for intelligent traffic management systems. Due to the periodic characteristics and …
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values
Short-term traffic forecasting based on deep learning methods, especially recurrent neural
networks (RNN), has received much attention in recent years. However, the potential of RNN …
networks (RNN), has received much attention in recent years. However, the potential of RNN …
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 …
Supervised weighting-online learning algorithm for short-term traffic flow prediction
YS Jeong, YJ Byon, MM Castro-Neto… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Prediction of short-term traffic flow has become one of the major research fields in intelligent
transportation systems. Accurately estimated traffic flow forecasts are important for operating …
transportation systems. Accurately estimated traffic flow forecasts are important for operating …
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 …
Short-term traffic flow forecasting using ensemble approach based on deep belief networks
Transportation services play an increasingly significant role for people's daily lives and bring
a lot of benefits to individuals and economic development. The randomness and volatility of …
a lot of benefits to individuals and economic development. The randomness and volatility of …
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 …