A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting

A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting

Accurate short-term traffic flow modeling is an essential prerequisite to analyze and control traffic flow. Canonical data-driven methods are a large account of parameters that may be underfitted with limited training samples, yet they cannot adaptively boost their understanding of the spatiotempora...

Full description

Saved in:

Bibliographic Details
Main Authors:	Shiqiang Zheng, Shuangyi Zhang, Youyi Song, Zhizhe Lin, Dazhi Jiang, Teng Zhou
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2021/5582974
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting
by: Huayuan Chen, et al.
Published: (2024-10-01)

GSA-KAN: A Hybrid Model for Short-Term Traffic Forecasting
by: Zhizhe Lin, et al.
Published: (2025-03-01)

Mixture correntropy with variable center LSTM network for traffic flow forecasting
by: Weiwei Fang, et al.
Published: (2024-12-01)

Short-Term Traffic Flow Forecasting Model Based on GA-TCN
by: Rongji Zhang, et al.
Published: (2021-01-01)

Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm
by: Qichun Bing, et al.
Published: (2018-01-01)

Forecasting the Short-Term Traffic Flow in the Intelligent Transportation System Based on an Inertia Nonhomogenous Discrete Gray Model
by: Huiming Duan, et al.
Published: (2017-01-01)

A Multifeature Fusion Short-Term Traffic Flow Prediction Model Based on Deep Learnings
by: Chunxu Chai, et al.
Published: (2022-01-01)

Short-Term Prediction of Traffic Flow Based on the Comprehensive Cloud Model
by: Jianhua Dong
Published: (2025-02-01)

Application effect of short-term traffic flow prediction method based on CNNBLSTM algorithm.
by: Guozhu Sui, et al.
Published: (2025-01-01)

Overview of Traffic Flow Forecasting Techniques
by: Annarita Carianni, et al.
Published: (2025-01-01)

The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points
by: Wu Haoyu
Published: (2025-01-01)

GRU-LSTM model based on the SSA for short-term traffic flow prediction
by: Changxi Ma, et al.
Published: (2025-03-01)

Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings
by: Chuanxiang Ren, et al.
Published: (2021-01-01)

Modeling of the flow time series for a short-term hydrological forecast
by: Tomasz Jarosław Siuta
Published: (2020-11-01)

Gravitational search algorithm‐extreme learning machine for COVID‐19 active cases forecasting
by: Boyu Huang, et al.
Published: (2023-08-01)

ANALYSIS OF NOISE CHARACTERISTICS OF TRAFFIC FLOWS ON THE EXAMPLE OF KRASNODAR
by: Irina N. Kotenkova, et al.
Published: (2024-10-01)

Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model
by: Junxi Zhang, et al.
Published: (2025-04-01)

Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis
by: Lingchao HE, et al.
Published: (2019-09-01)

Using Upstream and Downstream Traffic Information for Short term Traffic Flow Prediction Based on LSTM Recurrent Neural Network
by: MAN Chun-tao, et al.
Published: (2019-10-01)

Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting
by: Mustafa M. Kara, et al.
Published: (2025-02-01)

Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework
by: Lin Pan, et al.
Published: (2024-12-01)

A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting
by: Pan Wu, et al.
Published: (2020-01-01)

Short-Term Highway Traffic Flow Prediction via Wavelet–Liquid Neural Network Model
by: Yongjun Wu, et al.
Published: (2025-05-01)

Short-term traffic flow prediction research based on ICEEMDAN-MPE-PSO-DELM model
by: Xiujuan Tian, et al.
Published: (2025-07-01)

Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning
by: Bao-Lin Ye, et al.
Published: (2024-12-01)

A Novel Hierarchical Hybrid Model for Short-Term Bus Passenger Flow Forecasting
by: Huawei Zhai, et al.
Published: (2020-01-01)

SHORT-TERM FORECASTING OF MORTGAGE LENDING
by: Irina V. Orlova, et al.
Published: (2016-08-01)

UNEMPLOYMENT FORECAST IN ROMANIA ON THE SHORT-TERM
by: Mihaela, SAVU, et al.
Published: (2014-03-01)

Verification of the method for prediction of the equivalent level of freely flowing traffic noise
by: R. MAKAREWICZ, et al.
Published: (2016-03-01)

A deep learning short-term traffic flow prediction method considering spatial-temporal association
by: Yang ZHANG, et al.
Published: (2021-06-01)

Urban Traffic Flow Forecasting Based on Graph Structure Learning
by: Guangyu Huo, et al.
Published: (2024-01-01)

Machine learning based method for forecasting short-term passenger flow in urban rail stations
by: HU Mingwei, et al.
Published: (2022-09-01)

Univariate deep learning framework for short-term SST forecasting at high spatio-temporal scales
by: Jagdish Prajapati, et al.
Published: (2025-01-01)

The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks
by: Sunku V.S., et al.
Published: (2025-02-01)

A big data framework for short-term power load forecasting using heterogenous data
by: Haibo ZHAO, et al.
Published: (2022-12-01)

Correlation between Long-Term Exposure to Traffic Noise and Risk of Type 2 Diabetes Mellitus
by: Zhaopeng Yu, et al.
Published: (2024-04-01)

Implementation of Short- and Medium-Term Earthquake Forecasts
by: Rodolfo Console, et al.
Published: (2012-01-01)

Hybrid Techniques for Short Term Load Forecasting
by: Saroj Panda, et al.
Published: (2023-03-01)

Proximal <italic>LSSVR</italic> of Gauss-Laplacian With Mixed-Noise-Characteristics and Its Applications for Short-Term Wind-Speed Forecasting
by: Ting Zhou, et al.
Published: (2025-01-01)

Choice of the interval traffic control system in terms of increasing demands for the coverage of forecast traffic volumes
by: N. V. Kornienko, et al.
Published: (2022-03-01)