1. Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks;Asif;IEEE Transactions on Intelligent Transportation Systems,2016
2. Bai, L., Yao, L. N., Li, C., Wang, X. Z., & Wang, C. (2020). Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. In 34th Conference on Neural Information Processing Systems (NeurIPS) (Vol. 33). Electr Network: Neural Information Processing Systems (Nips).
3. Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm;Bashir;Neurocomputing,2018
4. Multiple time period imputation technique for multiple missing traffic variables: Nonparametric regression approach;Chang;Canadian Journal of Civil Engineering,2012