Correction: Capturing drivers' lane changing behaviors on operational level by data driven methods (IEEE Access (2018) 6 (57497-57506) DOI: 10.1109/ACCESS.2018.2873942)

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Abstract

In the above paper [1], for author biography, Dr. Ronghui Zhang and Dr. Haiwei Wang are not IEEE member and not IEEE Fellow. RONGHUI ZHANG received the B.Sc. (Eng.) degree from the Department of Automation Science and Electrical Engineering, Hebei University, Baoding, China, in 2003, the M.S. degree in vehicle application engineering from Jilin University, Changchun, China, in 2006, and the Ph.D. (Eng.) degree in mechanical and electrical engineering from the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, in 2009. After finished his postdoctoral research work at INRIA, Paris, France, in 2011, he is currently a Research Fellow with the Research Center of Intelligent Transportation Systems, School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China. He has published more than 20 papers in international journals. His current research interests include computer vision, intelligent control, and intelligent trans- portation systems. HAIWEI WANG received the B.E. and M.S. degrees from Jilin University, Changchun, China, and the Ph.D. degree from the South China University of Technology. She is currently a Lecturer with the School of Transport and Economic Management, Guangdong Communication Polytechnic, Guangzhou, China. She has published three papers in international journals. Her current research interests include intelligent transportation systems and vehicle control. In the above paper [1], the title of Fig. 4. is "The structure of RNN for LC models", not "The structure of FNN for LC models"..

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Huang, L., Guo, H., Zhang, R., Wang, H., & Wu, J. (2019). Correction: Capturing drivers’ lane changing behaviors on operational level by data driven methods (IEEE Access (2018) 6 (57497-57506) DOI: 10.1109/ACCESS.2018.2873942). IEEE Access. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2019.2918373

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