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Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

Transportation research. Part C, Emerging technologies, 2014-06, Vol.43, p.50-64

2014

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A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting

Neurocomputing (Amsterdam), 2016-02, Vol.179, p.246-263

2016

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A new grey model for traffic flow mechanics

Engineering applications of artificial intelligence, 2020-02, Vol.88, p.103350, Article 103350

2020

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Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm

IEEE transactions on intelligent transportation systems, 2012-06, Vol.13 (2), p.644-654

2012

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IEEE_Xplore

δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting

Neurocomputing (Amsterdam), 2017-07, Vol.247, p.31-38

2017

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PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting

IEEE access, 2020, Vol.8, p.6505-6514

2020

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Multi-step forecasting of short-term traffic flow based on Intrinsic Pattern Transform

Physica A, 2023-07, Vol.621, p.128798, Article 128798

2023

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Hybrid dual Kalman filtering model for short-term traffic flow forecasting

IET intelligent transport systems, 2019-06, Vol.13 (6), p.1023-1032

2019

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SVRGSA: a hybrid learning based model for short-term traffic flow forecasting

IET intelligent transport systems, 2019-09, Vol.13 (9), p.1348-1355

2019

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Short-term traffic flow prediction using fuzzy information granulation approach under different time intervals

IET intelligent transport systems, 2018-03, Vol.12 (2), p.143-150

2018

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An inertia grey discrete model and its application in short-term traffic flow prediction and state determination

Neural computing & applications, 2020-06, Vol.32 (12), p.8617-8633

2020

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Short-term traffic flow prediction based on improved wavelet neural network

Neural computing & applications, 2021-07, Vol.33 (14), p.8181-8190

2021

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Intersection traffic flow forecasting based on ν-GSVR with a new hybrid evolutionary algorithm

Neurocomputing (Amsterdam), 2015, Vol.147, p.343-349

Huang, Min-Liang

2015

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GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting

Mathematics (Basel), 2023-08, Vol.11 (16), p.3574

2023

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Advanced Machine Learning Applications in Big Data Analytics

2023

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Traffic Volatility Forecasting Using an Omnibus Family GARCH Modeling Framework

Entropy (Basel, Switzerland), 2022-09, Vol.24 (10), p.1392

2022

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A Hybrid Short-term Traffic Flow Forecasting Method Based on Neural Networks Combined with K-Nearest Neighbor

Promet, 2018-08, Vol.30 (4), p.445-456

2018

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Research on short-term traffic flow prediction based on the tensor decomposition algorithm

Journal of intelligent & fuzzy systems, 2021-01, Vol.40 (3), p.5731-5741

2021

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Meta-Extreme Learning Machine for Short-Term Traffic Flow Forecasting

Applied sciences, 2022-12, Vol.12 (24), p.12670

2022

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Short-Term Traffic-Flow Forecasting Based on an Integrated Model Combining Bagging and Stacking Considering Weight Coefficient

Electronics (Basel), 2022-05, Vol.11 (9), p.1467

2022

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Prediction of a multi-mode coupling model based on traffic flow tensor data

Journal of intelligent & fuzzy systems, 2019-01, Vol.36 (2), p.1691-1703

2019

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Prediction of Traffic Flow at the Boundary of a Motorway Network

IEEE transactions on intelligent transportation systems, 2014-02, Vol.15 (1), p.214-227

2014

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IEEE_Xplore

Expressway Short-Term Traffic Flow Forecasting Considering Spatio-Temporal Features of ETC Gantry

Advances in Smart Vehicular Technology, Transportation, Communication and Applications, p.291-308

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An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting

ISPRS international journal of geo-information, 2020-06, Vol.9 (6), p.340

2020

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Research on Short-Term Traffic Flow Forecasting Based on KNN and Discrete Event Simulation

Advanced Data Mining and Applications, p.853-862

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Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting

A new grey model for traffic flow mechanics

Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm

δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting

PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting

Multi-step forecasting of short-term traffic flow based on Intrinsic Pattern Transform

Hybrid dual Kalman filtering model for short-term traffic flow forecasting

SVRGSA: a hybrid learning based model for short-term traffic flow forecasting

Short-term traffic flow prediction using fuzzy information granulation approach under different time intervals

An inertia grey discrete model and its application in short-term traffic flow prediction and state determination

Short-term traffic flow prediction based on improved wavelet neural network

Intersection traffic flow forecasting based on ν-GSVR with a new hybrid evolutionary algorithm

GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting

Advanced Machine Learning Applications in Big Data Analytics

Traffic Volatility Forecasting Using an Omnibus Family GARCH Modeling Framework

A Hybrid Short-term Traffic Flow Forecasting Method Based on Neural Networks Combined with K-Nearest Neighbor

Research on short-term traffic flow prediction based on the tensor decomposition algorithm

Meta-Extreme Learning Machine for Short-Term Traffic Flow Forecasting

Short-Term Traffic-Flow Forecasting Based on an Integrated Model Combining Bagging and Stacking Considering Weight Coefficient

Prediction of a multi-mode coupling model based on traffic flow tensor data

Prediction of Traffic Flow at the Boundary of a Motorway Network

Expressway Short-Term Traffic Flow Forecasting Considering Spatio-Temporal Features of ETC Gantry

An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting

Research on Short-Term Traffic Flow Forecasting Based on KNN and Discrete Event Simulation

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