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Missing traffic data: comparison of imputation methods
3 references·4 citing·16 second hop
Missing traffic data: comparison of imputation methods (2013)Missing traffic data: comparison of imput…Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…Archived Intelligent Transportation System Data Quality: Preliminary Analyses of San Antonio TransGuide Data (2000)Archived Intelligent Transpor…10.1007/978-1-4899-4485-6 (2000)10.1007/978-1-4899-4485-6A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection (2020)A variational autoencoder sol…Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks (2019)Traffic Flow Imputation Using…Data-Driven Imputation Method for Traffic Data in Sectional Units of Road Links (2016)Data-Driven Imputation Method…Trend Modeling for Traffic Time Series Analysis: An Integrated Study (2015)Trend Modeling for Traffic Ti…Performance measurement system (2002)Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis (2004)The retrieval of intra-day trend and its influence on traffic prediction (2012)Exploring Imputation Techniques for Missing Data in Transportation Management Systems (2003)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Analysis of Financial Time Series (2006)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)2017 IEEE International Conference on Big Data (Big Data) (2017)Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)A Markov Chain Monte Carlo-Based Origin Destination Matrix Estimator that is Robust to Imperfect Intelligent Transportation Systems Data (2008)Advanced methods in meta‐analysis: multivariate approach and meta‐regression (2002)Combination of direct and indirect evidence in mixed treatment comparisons (2004)Considering context, place and culture: the National Latino and Asian American Study (2004)
this work references cited by second hop

References

  • 2002Introduction to Time Series and Forecasting3,934 cited
  • 200010.1007/978-1-4899-4485-61,151 cited
  • 2000Archived Intelligent Transportation System Data Quality: Preliminary Analyses of San Antonio TransGuide Data73 cited

Cited by

  • 2020A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection166 cited
  • 2015Trend Modeling for Traffic Time Series Analysis: An Integrated Study165 cited
  • 2016Data-Driven Imputation Method for Traffic Data in Sectional Units of Road Links161 cited
  • 2019Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks153 cited

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