Traffic Flow Prediction at Varied Time Scales via Ensemble Empirical Mode Decomposition and Artificial Neural Network

Video-Based Detection Infrastructure Enhancement for Automated Ship Recognition and Behavior Analysis

(2020) Xinqiang Chen et al.   JOURNAL OF ADVANCED TRANSPORTATION

Ship Type Recognition via a Coarse-to-Fine Cascaded Convolution Neural Network

(2020) Xinqiang Chen et al.   JOURNAL OF NAVIGATION

Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter

(2020) Xinqiang Chen et al.   SENSORS

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

(2020) Toon Bogaerts et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Traffic flow prediction based on combination of support vector machine and data denoising schemes

(2019) Jinjun Tang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Short-term prediction of lane-level traffic speeds: A fusion deep learning model

(2019) Yuanli Gu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Consensus and optimal speed advisory model for mixed traffic at an isolated signalized intersection

(2019) Shaowei Yu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Short-term traffic flow prediction based on faded memory Kalman Filter fusing data from connected vehicles and Bluetooth sensors

(2019) Azadeh Emami et al.   SIMULATION MODELLING PRACTICE AND THEORY

An effective spatial-temporal attention based neural network for traffic flow prediction

(2019) Loan N.N. Do et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

(2019) Ling Zhao et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

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

Anomaly Detection and Cleaning of Highway Elevation Data from Google Earth Using Ensemble Empirical Mode Decomposition

(2018) Xinqiang Chen et al.   Journal of Transportation Engineering Part A-Systems

An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction

(2018)   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Robust Ship Tracking via Multi-view Learning and Sparse Representation

(2018) Xinqiang Chen et al.   JOURNAL OF NAVIGATION

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

(2018) Xinyu Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Probe data-driven travel time forecasting for urban expressways by matching similar spatiotemporal traffic patterns

(2017) Zhihao Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Evaluating the impacts of grades on vehicular speeds on interstate highways

(2017) Xinqiang Chen et al.   PLoS One

Estimating observation error covariance matrix of seismic data from a perspective of image denoising

(2016) Xiaodong Luo et al.   COMPUTATIONAL GEOSCIENCES

Repeatability and Similarity of Freeway Traffic Flow and Long-Term Prediction Under Big Data

(2016) Zhongsheng Hou et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A New Wavelet Denoising Method for Selecting Decomposition Levels and Noise Thresholds

(2016) Madhur Srivastava et al.   IEEE Access

A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data

(2014) C. Narendra Babu et al.   APPLIED SOFT COMPUTING

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Weather Adaptive Traffic Prediction Using Neurowavelet Models

(2013) Stephen Dunne et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS