Detecting Errors and Imputing Missing Data for Single-Loop Surveillance Systems

By Chao Chen, Jaimyoung Kwon, John Rice, A. Skabardonis, Pravin Pratap Varaiya. 2003

317 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/1491e928431f7d3523428f7e220a6ca6766467e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Zhiyong Cui
2. Ruimin Ke
3. Alexandre M. Bayen
4. Takahiko Kusakabe
5. Ziyuan Pu
6. Yasuo Asakura
7. Toru Seo
8. Yinhai Wang

In Control and Systems Engineering

1. Zhiyong Cui
2. Ruimin Ke
3. Alexandre M. Bayen
4. Takahiko Kusakabe
5. Yasuo Asakura
6. Toru Seo
7. Yinhai Wang
8. Nizar Bouguila

In Transportation

1. Zhiyong Cui
2. Alexandre M. Bayen
3. Takahiko Kusakabe
4. Ziyuan Pu
5. Yasuo Asakura
6. Ruimin Ke
7. Toru Seo
8. Yinhai Wang

Citations in the corpus

• Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values (2020, methodology): “Various data imputation methods for time series, including regression Chen et al. (2003), spectral analysis Mondal and Percival (2010), EM algorithm Garc´ıa-Laencina et al. (2010), and matrix factorization Koren et al. (2009) Chen et al. (2019b) have been developed and applied to estimate missing…”
• Traffic state estimation on highway: A comprehensive survey (2017, methodology): “(1997) NKF PW FDM yes S no Coifman (2002) BVP LWR-N -like yes S yes Treiber and Helbing (2002) ASF LWR-like yes S no Muñoz et al.”