A joint temporal-spatial ensemble model for short-term traffic prediction

Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast

(2020) Tao Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Hybrid Methods for Short-Term Traffic Flow Prediction Based on ARIMA-GARCH Model and Wavelet Neural Network

(2020) Ronghan Yao et al.   Journal of Transportation Engineering Part A-Systems

Traffic flow prediction by an ensemble framework with data denoising and deep learning model

(2020) Xinqiang Chen et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes

(2018) Yi Liu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A hybrid deep learning based traffic flow prediction method and its understanding

(2018) Yuankai Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

(2018) Zongtao Duan et al.   IEEE Access

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

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Deep learning for short-term traffic flow prediction

(2017) Nicholas G. Polson et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term highway traffic flow prediction based on a hybrid strategy considering temporal-spatial information

(2016) Linchao Li et al.   JOURNAL OF ADVANCED TRANSPORTATION

Short-term traffic flow rate forecasting based on identifying similar traffic patterns

(2016) Filmon G. Habtemichael et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Ensemble local kernel learning for online prediction of distributed product outputs in chemical processes

(2015) Yi Liu et al.   CHEMICAL ENGINEERING SCIENCE

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

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

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

SHORT TERM TRAFFIC FLOW PREDICTION IN HETEROGENEOUS CONDITION USING ARTIFICIAL NEURAL NETWORK

(2013) Kranti Kumar et al.   Transport

A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model

(2013) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Data-Driven Intelligent Transportation Systems: A Survey

(2011) Junping Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

(2011) Kit Yan Chan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS