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A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation
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A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation (2018)A Bayesian tensor decomposition approach …Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)Missing Value Imputation for …Understanding urban mobility patterns with a probabilistic tensor factorization framework (2016)Understanding urban mobility …Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks (2016)Matrix and Tensor Based Metho…Tensor based missing traffic data completion with spatial–temporal correlation (2015)Tensor based missing traffic …Missing traffic data: comparison of imputation methods (2013)Missing traffic data: compari…A tensor-based method for missing traffic data completion (2013)A tensor-based method for mis…PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach (2009)PPCA-Based Missing Data Imput…Problems in Measuring Change (1965)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Efficient missing data imputing for traffic flow by considering temporal and spatial dependence (2013)Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)An efficient realization of deep learning for traffic data imputation (2016)10.1007/978-1-4899-4485-6 (2000)Archived Intelligent Transportation System Data Quality: Preliminary Analyses of San Antonio TransGuide Data (2000)Introduction to Time Series and Forecasting (2002)Trend Modeling for Traffic Time Series Analysis: An Integrated Study (2015)A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection (2020)Exploring Imputation Techniques for Missing Data in Transportation Management Systems (2003)A Bayesian Network Approach to Traffic Flow Forecasting (2006)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)Performance measurement system (2002)Estimation of missing traffic counts using factor, genetic, neural, and regression techniques (2004)The retrieval of intra-day trend and its influence on traffic prediction (2012)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Understanding individual human mobility patterns (2008)Discovering regions of different functions in a city using human mobility and POIs (2012)Urban Human Mobility (2019)Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: A perspective from car mobility behaviour (2020)On the First Law of Geography: A Reply (2004)Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit (2020)Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method (2021)
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References

  • 2009PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach445 cited
  • 2013A tensor-based method for missing traffic data completion441 cited
  • 2018Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method206 cited
  • 2013Missing traffic data: comparison of imputation methods189 cited
  • 2016Understanding urban mobility patterns with a probabilistic tensor factorization framework175 cited
  • 2016Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks160 cited
  • 2015Tensor based missing traffic data completion with spatial–temporal correlation154 cited

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