4.7 Article

A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Multidisciplinary

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

Saiqun Lu et al.

Summary: The combined prediction method for short-term traffic flow based on ARIMA model and LSTM neural network effectively captures the linear and non-linear features of traffic data, resulting in better prediction accuracy compared to traditional methods.

ALEXANDRIA ENGINEERING JOURNAL (2021)

Article Engineering, Civil

TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets

Yuxuan Zhang et al.

Summary: Research on traffic flow prediction has been increasing, with a new model called TrafficGAN proposed for network-scale deep traffic prediction using Generative Adversarial Networks. By embedding CNN and LSTM models in TrafficGAN, along with a deformable convolution kernel for better data handling, significant improvements in short-term traffic flow prediction for road networks were achieved.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Article Engineering, Electrical & Electronic

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)

Article Engineering, Electrical & Electronic

Road traffic network state prediction based on a generative adversarial network

Dongwei Xu et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2020)

Article Engineering, Electrical & Electronic

Urban traffic flow online prediction based on multi-component attention mechanism

Bo Sun et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2020)

Article Engineering, Civil

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)

Article Computer Science, Artificial Intelligence

T2F-LSTM Method for Long-Term Traffic Volume Prediction

Runmei Li et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Information Systems

Improving Urban Crowd Flow Prediction on Flexible Region Partition

Xu Wang et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)

Article Engineering, Civil

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)

Article Engineering, Civil

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)

Article Engineering, Civil

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)

Article Engineering, Civil

An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction

Jonathan Mackenzie et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Article Engineering, Electrical & Electronic

Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features

Dan Yang et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2019)

Article Engineering, Civil

Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network

Di Zang et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Article Multidisciplinary Sciences

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)

Article Astronomy & Astrophysics

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)

Article Computer Science, Interdisciplinary Applications

Construction of intelligent traffic information recommendation system based on long short-term memory

Fanhui Kong et al.

JOURNAL OF COMPUTATIONAL SCIENCE (2018)

Article Computer Science, Interdisciplinary Applications

Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials

Qingchao Liu et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Transportation Science & Technology

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)

Article Environmental Sciences

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)

Article Engineering, Civil

Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior

Jeremy Morton et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)

Article Engineering, Electrical & Electronic

LSTM network: a deep learning approach for short-term traffic forecast

Zheng Zhao et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2017)

Article Engineering, Civil

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

Wenhao Huang et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2014)

Article Transportation Science & Technology

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)

Article Engineering, Civil

A Bayesian network approach to traffic flow forecasting

SL Sun et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)