Related references
Note: Only part of the references are listed.A combined method for short-term traffic flow prediction based on recurrent neural network
Saiqun Lu et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets
Yuxuan Zhang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation
Shota Fukuda et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Road traffic network state prediction based on a generative adversarial network
Dongwei Xu et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Urban traffic flow online prediction based on multi-component attention mechanism
Bo Sun et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning
Jian Sun et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
T2F-LSTM Method for Long-Term Traffic Volume Prediction
Runmei Li et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)
Improving Urban Crowd Flow Prediction on Flexible Region Partition
Xu Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting
Pan Wu et al.
JOURNAL OF ADVANCED TRANSPORTATION (2020)
Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network
Lian Hou et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
Analysis of the relationship between LSTM network traffic flow prediction performance and statistical characteristics of standard and nonstandard data
Erdem Dogan
JOURNAL OF FORECASTING (2020)
An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction
Jonathan Mackenzie et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features
Dan Yang et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2019)
Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network
Di Zang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Data-Driven Short-Term Forecasting for Urban Road Network Traffic Based on Data Processing and LSTM-RNN
Wang Xiangxue et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2019)
Multiple-Hour-Ahead Forecast of the Dst Index Using a Combination of Long Short-Term memory Neural Network and Gaussian Process
M. A. Gruet et al.
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS (2018)
Construction of intelligent traffic information recommendation system based on long short-term memory
Fanhui Kong et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2018)
Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials
Qingchao Liu et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
A car-following model considering asymmetric driving behavior based on long short-term memory neural networks
Xiuling Huang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
A hybrid model based on convolutional neural networks and long short-term memory for ozone concentration prediction
Unjin Pak et al.
AIR QUALITY ATMOSPHERE AND HEALTH (2018)
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior
Jeremy Morton et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
LSTM network: a deep learning approach for short-term traffic forecast
Zheng Zhao et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2017)
Artificial Synapses with Short- and Long-Term Memory for Spiking Neural Networks Based on Renewable Materials
Youngjun Park et al.
ACS NANO (2017)
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
Wenhao Huang et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2014)
Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections
Jia Zheng Zhu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
A Bayesian network approach to traffic flow forecasting
SL Sun et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)