Understanding Origin-Destination Ride Demand with Interpretable and Scalable Nonnegative Tensor Decomposition

Autoregressive matrix factorization for imputation and forecasting of spatiotemporal structural monitoring time series

(2022) Peijie Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Real-time spatiotemporal prediction and imputation of traffic status based on LSTM and Graph Laplacian regularized matrix factorization

(2021) Jin-Ming Yang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Scalable low-rank tensor learning for spatiotemporal traffic data imputation

(2021) Xinyu Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization

(2021) Yang Wang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Estimating probability distributions of travel demand on a congested network

(2019) Yudi Yang et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Stochastic travel demand estimation: Improving network identifiability using multi-day observation sets

(2018) Yudi Yang et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Statistical inference of probabilistic origin-destination demand using day-to-day traffic data

(2018) Wei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data

(2018) Wei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

(2018) Jintao Ke et al.   Transportmetrica A-Transport Science

Traffic data imputation via tensor completion based on soft thresholding of Tucker core

(2017) J.H. de M. Goulart et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks

(2016) Muhammad Tayyab Asif et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-Term Traffic Prediction Based on Dynamic Tensor Completion

(2016) Huachun Tan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Provable sparse tensor decomposition

(2016) Will Wei Sun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Tensor based missing traffic data completion with spatial–temporal correlation

(2016) Bin Ran et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Understanding urban mobility patterns with a probabilistic tensor factorization framework

(2016) Lijun Sun et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Estimating Missing Traffic Volume Using Low Multilinear Rank Tensor Completion

(2015) Bin Ran et al.   Journal of Intelligent Transportation Systems

Data dependent input control for origin–destination demand estimation using observability analysis

(2015) Yudi Yang et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Estimation of mean and covariance of stochastic multi-class OD demands from classified traffic counts

(2015) Hu Shao et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A tensor-based method for missing traffic data completion

(2013) Huachun Tan et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

On Tensors, Sparsity, and Nonnegative Factorizations

(2012) Eric C. Chi et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

Nonnegative Matrix Factorization on Orthogonal Subspace

(2010) Zhao Li et al.   PATTERN RECOGNITION LETTERS

Matrix Factorization Techniques for Recommender Systems

(2009) Yehuda Koren et al.   COMPUTER

Tensor Decompositions and Applications

(2009) Tamara G. Kolda et al.   SIAM REVIEW

The Observability Problem in Traffic Network Models

(2008) Enrique Castillo et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Some models and procedures for space-time point processes

(2008) David Vere-Jones   ENVIRONMENTAL AND ECOLOGICAL STATISTICS

Algorithms for Sparse Nonnegative Tucker Decompositions

(2008) Morten Mørup et al.   NEURAL COMPUTATION

Statistical inference for time varying origin–destination matrices

(2008) Martin L. Hazelton   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL