Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Predicting large-scale transportation network traffic has become an important and challenging topic in recent decades. Inspired by the domain knowledge of motion prediction, in which the future motion of an object can be predicted based on previous scenes, we propose a network grid representation me...

Full description

Bibliographic Details
Main Authors:	Haiyang Yu, Zhihai Wu, Shuqin Wang, Yunpeng Wang, Xiaolei Ma
Format:	Article
Language:	English
Published:	MDPI AG 2017-06-01
Series:	Sensors
Subjects:	traffic prediction convolutional neural network long short-term memory spatiotemporal feature network representation
Online Access:	http://www.mdpi.com/1424-8220/17/7/1501

Similar Items

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
by: Xiaolei Ma, et al.
Published: (2017-04-01)

Spatiotemporal Graph Convolutional Network for Multi-Scale Traffic Forecasting
by: Yi Wang, et al.
Published: (2022-02-01)

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
by: Jiawei Zhu, et al.
Published: (2021-01-01)

LST-GCN: Long Short-Term Memory Embedded Graph Convolution Network for Traffic Flow Forecasting
by: Xu Han, et al.
Published: (2022-07-01)

City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN
by: Navin Ranjan, et al.
Published: (2020-01-01)

Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction
by: Weimin Mai, et al.
Published: (2022-03-01)

Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers
by: Xiaofeng Cao, et al.
Published: (2018-01-01)

Classifying Musical Instrument Using Spatiotemporal Features with Deep Neural Networks
by: Chai Xiu CHIAH, et al.
Published: (2023-12-01)

PMGCN: Progressive Multi-Graph Convolutional Network for Traffic Forecasting
by: Zhenxin Li, et al.
Published: (2023-06-01)

Action Recognition Based on Two-Stream Convolutional Networks With Long-Short-Term Spatiotemporal Features
by: Yanqin Wan, et al.
Published: (2020-01-01)

Detection of Myocardial Infarction Using Hybrid Models of Convolutional Neural Network and Recurrent Neural Network
by: Sumayyah Hasbullah, et al.
Published: (2023-06-01)

Customer Prediction using Parking Logs with Recurrent Neural Networks
by: Liaq Mudassar, et al.
Published: (2018-07-01)

GCN-LSTM spatiotemporal-network-based method for post-disturbance frequency prediction of power systems
by: Dengyi Huang, et al.
Published: (2022-02-01)

DC-STGCN: Dual-Channel Based Graph Convolutional Networks for Network Traffic Forecasting
by: Chengsheng Pan, et al.
Published: (2021-04-01)

Spatiotemporal Scenario Generation of Traffic Flow Based on LSTM-GAN
by: Chao Wu, et al.
Published: (2020-01-01)

Assessing the Impact of Neighborhood Size on Temporal Convolutional Networks for Modeling Land Cover Change
by: Alysha van Duynhoven, et al.
Published: (2022-10-01)

Short-Term Traffic State Prediction Based on the Spatiotemporal Features of Critical Road Sections
by: Gang Yang, et al.
Published: (2018-07-01)

Parallelized Convolutional Recurrent Neural Network With Spectral Features for Speech Emotion Recognition
by: Pengxu Jiang, et al.
Published: (2019-01-01)

Payload-Based Traffic Classification Using Multi-Layer LSTM in Software Defined Networks
by: Hyun-Kyo Lim, et al.
Published: (2019-06-01)

Feature identification in complex fluid flows by convolutional neural networks
by: Shizheng Wen, et al.
Published: (2023-11-01)

Spatial-temporal upsampling graph convolutional network for daily long-term traffic speed prediction
by: Song Zhang, et al.
Published: (2022-11-01)

Two-Stream Convolutional Network for Improving Activity Recognition Using Convolutional Long Short-Term Memory Networks
by: W. Ye, et al.
Published: (2019-01-01)

Continuous Emotion Recognition with Spatiotemporal Convolutional Neural Networks
by: Thomas Teixeira, et al.
Published: (2021-12-01)

Wholesale Electricity Price Forecasting Using Integrated Long-Term Recurrent Convolutional Network Model
by: Vasudharini Sridharan, et al.
Published: (2022-10-01)

Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
by: Manuel Lopez-Martin, et al.
Published: (2017-01-01)

Multi-Lane Short-Term Traffic Forecasting With Convolutional LSTM Network
by: Yixuan Ma, et al.
Published: (2020-01-01)

Classifying Parasitized and Uninfected Malaria Red Blood Cells Using Convolutional-Recurrent Neural Networks
by: Adan Antonio Alonso-Ramirez, et al.
Published: (2022-01-01)

A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network
by: Albatul Albattah, et al.
Published: (2022-03-01)

Deep Temporal Convolutional Networks for Short-Term Traffic Flow Forecasting
by: Wentian Zhao, et al.
Published: (2019-01-01)

Long Short-Term Fusion Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
by: Hui Zeng, et al.
Published: (2023-01-01)

Leucogranite mapping via convolutional recurrent neural networks and geochemical survey data in the Himalayan orogen
by: Ziye Wang, et al.
Published: (2024-01-01)

An attention-based deep learning model for citywide traffic flow forecasting
by: Tao Zhou, et al.
Published: (2022-12-01)

Predicting traffic propagation flow in urban road network with multi-graph convolutional network
by: Haiqiang Yang, et al.
Published: (2023-06-01)

3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images
by: Majid Seydgar, et al.
Published: (2019-04-01)

Gated Recurrent Unit Embedded with Dual Spatial Convolution for Long-Term Traffic Flow Prediction
by: Qingyong Zhang, et al.
Published: (2023-09-01)

A multimodal hybrid parallel network intrusion detection model
by: Shuxin Shi, et al.
Published: (2023-12-01)

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
by: Chujie Tian, et al.
Published: (2018-12-01)

Modulation Signal Classification Algorithm Based on Denoising Residual Convolutional Neural Network
by: Yecai Guo, et al.
Published: (2022-01-01)

Dynamic Spatiotemporal Correlation Graph Convolutional Network for Traffic Speed Prediction
by: Chenyang Cao, et al.
Published: (2024-03-01)

Representation of Traffic Congestion Data for Urban Road Traffic Networks Based on Pooling Operations
by: Sen Zhang, et al.
Published: (2020-04-01)