Cargando…

Traffic flow prediction using bi-directional gated recurrent unit method

Traffic flow prediction plays an important role in intelligent transportation systems. To accurately capture the complex non-linear temporal characteristics of traffic flow, this paper adopts a Bi-directional Gated Recurrent Unit (Bi-GRU) model in traffic flow prediction. Compared to Gated Recurrent...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Shengyou, Shao, Chunfu, Zhang, Jie, Zheng, Yan, Meng, Meng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Nature Singapore 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713748/ https://www.ncbi.nlm.nih.gov/pubmed/36471871 http://dx.doi.org/10.1007/s44212-022-00015-z

Ejemplares similares

Traffic Flow Prediction Model Based on the Combination of Improved Gated Recurrent Unit and Graph Convolutional Network
por: Zhao, Yun, et al.
Publicado: (2022)

Attention-Based Spatial–Temporal Convolution Gated Recurrent Unit for Traffic Flow Forecasting
por: Zhang, Qingyong, et al.
Publicado: (2023)

Bi-directional long short term memory-gated recurrent unit model for Amharic next word prediction
por: Endalie, Demeke, et al.
Publicado: (2022)

Anomalous Network Traffic Detection Method Based on an Elevated Harris Hawks Optimization Method and Gated Recurrent Unit Classifier
por: Xiao, Yao, et al.
Publicado: (2022)

Using city gates as a means of estimating ancient traffic flows
por: Hanson, J. W.
Publicado: (2020)

Resident travel mode prediction model in Beijing metropolitan area
por: Mi, Xueyu, et al.
Publicado: (2021)

The Bidirectional Gated Recurrent Unit Network Based on the Inception Module (Inception-BiGRU) Predicts the Missing Data by Well Logging Data
por: Sun, Youzhuang, et al.
Publicado: (2023)

An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
por: Wei, Wangyang, et al.
Publicado: (2019)

A novel traffic accident detection method with comprehensive traffic flow features extraction
por: Zhu, Liping, et al.
Publicado: (2022)

Outbreak prediction of COVID-19 using Recurrent neural network with Gated Recurrent Units
por: Natarajan, Sathish, et al.
Publicado: (2023)

A novel bi-directional heterogeneous network selection method for disease and microbial association prediction
por: Guan, Jian, et al.
Publicado: (2022)

Research on highway traffic flow prediction model and decision-making method
por: Zhu, Yuyu, et al.
Publicado: (2022)

Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection
por: Kim, Daeho, et al.
Publicado: (2019)

Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data
por: Liu, Duanyang, et al.
Publicado: (2021)

A Novel Hybrid Convolutional Neural Network- and Gated Recurrent Unit-Based Paradigm for IoT Network Traffic Attack Detection in Smart Cities
por: Gupta , Brij B., et al.
Publicado: (2023)

Gated recurrent unit-based heart sound analysis for heart failure screening
por: Gao, Shan, et al.
Publicado: (2020)

Entropy-Weight-Method-Based Integrated Models for Short-Term Intersection Traffic Flow Prediction
por: Qu, Wenrui, et al.
Publicado: (2022)

Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection
por: Zhou, Qihang, et al.
Publicado: (2022)

Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit
por: Nancy, A Angel, et al.
Publicado: (2023)

Visual field prediction using a deep bidirectional gated recurrent unit network model
por: Kim, Hwayeong, et al.
Publicado: (2023)

SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners
por: AlMulla, Jassim, et al.
Publicado: (2023)

An Optimized Model Based on Deep Learning and Gated Recurrent Unit for COVID-19 Death Prediction
por: Tarek, Zahraa, et al.
Publicado: (2023)

CNNG: A Convolutional Neural Networks With Gated Recurrent Units for Autism Spectrum Disorder Classification
por: Jiang, Wenjing, et al.
Publicado: (2022)

Golden Gate assembly with a bi-directional promoter (GBid): A simple, scalable method for phage display Fab library creation
por: Chockalingam, Karuppiah, et al.
Publicado: (2020)

Predicting subway passenger flows under different traffic conditions
por: Ling, Ximan, et al.
Publicado: (2018)

Simulation of bi-directional pedestrian flow in corridor based on direction fuzzy visual field
por: Li, Shiwei, et al.
Publicado: (2023)

Traffic and Granular Flow ’03
por: Hoogendoorn, Serge, et al.
Publicado: (2005)

Traffic and Granular Flow '11
por: Kozlov, Valery, et al.
Publicado: (2013)

Traffic and Granular Flow’05
por: Schadschneider, Andreas, et al.
Publicado: (2007)

Traffic and Granular Flow ’07
por: Appert-Rolland, Cécile, et al.
Publicado: (2009)

Conference on Traffic and Granular Flow
Publicado: (1997)

Mathematical theories of traffic flow
por: Haight
Publicado: (1963)

Traffic and granular flow’01
por: Fukui, Minoru, et al.
Publicado: (2003)

An introduction to traffic flow theory
por: Elefteriadou, Lily
Publicado: (2014)

The curvHDR method for gating flow cytometry samples
por: Naumann, Ulrike, et al.
Publicado: (2010)

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
por: Yu, Haiyang, et al.
Publicado: (2017)

An efficient hexadecimal network flow watermark method for tracking attack traffic
por: Cui, Jun, et al.
Publicado: (2023)

Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit
por: Xuan, Ping, et al.
Publicado: (2019)

Detecting Coal Pulverizing System Anomaly Using a Gated Recurrent Unit and Clustering
por: Chen, Zian, et al.
Publicado: (2020)

Traffic Speed Prediction: An Attention-Based Method
por: Liu, Duanyang, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_g54mk6n6jqk7p8gv6a1vvdd3l6