Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory
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Yinhai Wang | Jinjun Tang | Yajie Zou | Xinshao Zhang | Weiqi Yin | Yinhai Wang | Y. Zou | Jinjun Tang | Xinshao Zhang | Weiqi Yin
[1] Bruce Ramsey,et al. AUTOCOUNTS: A WAY TO ANALYSE AUTOMATIC TRAFFIC COUNT DATA. , 1994 .
[2] Ai Long Fan. The Traffic Prediction and Control Based on Rough Set Theory , 2013 .
[3] Haitham Al-Deek,et al. New Algorithms for Filtering and Imputation of Real-Time and Archived Dual-Loop Detector Data in I-4 Data Warehouse , 2004 .
[4] Application of Outlier Detection and Missing Value Estimation Techniques to Various Forms of TrafficCount Data , 1993 .
[5] Lelitha Vanajakshi,et al. A hybrid model based method for bus travel time estimation , 2018, J. Intell. Transp. Syst..
[6] Alexandre M. Bayen,et al. Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning , 2012 .
[7] Feng Shu,et al. Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning , 2019, Transportmetrica A: Transport Science.
[8] Ton J. Cleophas,et al. Missing-data Imputation , 2022 .
[9] Bin Ran,et al. Estimating Missing Traffic Volume Using Low Multilinear Rank Tensor Completion , 2016, J. Intell. Transp. Syst..
[10] C. R. Deboor,et al. A practical guide to splines , 1978 .
[11] C. Holt. Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .
[12] A. R. Cook,et al. ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES , 1979 .
[13] Angshuman Guin,et al. Multiple Imputation Scheme for Overcoming the Missing Values and Variability Issues in ITS Data , 2005 .
[14] Guangdong Feng,et al. A Tensor Based Method for Missing Traffic Data Completion , 2013 .
[15] Fang Liu,et al. An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic , 2017, IEEE Transactions on Intelligent Transportation Systems.
[16] Stephen D. Clark,et al. A comparative assessment of current and new techniques for detecting outliers and estimating missing values in transport related time series data , 1993 .
[17] Carl de Boor,et al. A Practical Guide to Splines , 1978, Applied Mathematical Sciences.
[18] Yi Zhang,et al. A BPCA based missing value imputing method for traffic flow volume data , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[19] Huafeng Wu,et al. Robust Ship Tracking via Multi-view Learning and Sparse Representation , 2018, Journal of Navigation.
[20] M. Zhong,et al. ESTIMATION OF MISSING TRAFFIC COUNTS USING FACTOR, GENETIC, NEURAL AND REGRESSION TECHNIQUES , 2004 .
[21] Li Li,et al. Efficient missing data imputing for traffic flow by considering temporal and spatial dependence , 2013 .
[22] Chris Cornelis,et al. Fuzzy-rough nearest neighbour classification and prediction , 2011, Theor. Comput. Sci..
[23] Jinjun Tang,et al. Traffic flow prediction based on combination of support vector machine and data denoising schemes , 2019, Physica A: Statistical Mechanics and its Applications.
[24] Xiaofei Wang,et al. Understanding characteristics in multivariate traffic flow time series from complex network structure , 2017 .
[25] Miguel Ángel Sotelo,et al. Lightweight Occupancy Estimation on Freeways Using Extended Floating Car Data , 2014, J. Intell. Transp. Syst..
[26] Robert Nowicki,et al. Rough Neuro-Fuzzy Structures for Classification With Missing Data , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[27] John L.P. Thompson,et al. Missing data , 2004, Amyotrophic lateral sclerosis and other motor neuron disorders : official publication of the World Federation of Neurology, Research Group on Motor Neuron Diseases.
[28] Stephen Boyles. Comparison of Interpolation Methods for Missing Traffic Volume Data , 2011 .
[29] Shawn Turner,et al. IMPUTING MISSING VALUES IN ITS DATA ARCHIVES FOR INTERVALS UNDER 5 MINUTES , 2001 .
[30] Fasheng Liu,et al. Combination Prediction Model of Traffic Flow Based on Rough Set Theory , 2009, 2009 International Conference on Information Technology and Computer Science.
[31] Peng Liu,et al. Short-term traffic flow prediction based on rough set and support vector machine , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
[32] Nathan Huynh,et al. Kernel-Based Machine Learning Models for Predicting Daily Truck Volume at Seaport Terminals , 2010 .
[33] Mehran Amiri,et al. Missing data imputation using fuzzy-rough methods , 2016, Neurocomputing.
[34] J. Shao,et al. Nearest Neighbor Imputation for Survey Data , 2000 .
[35] Jinjun Tang,et al. Short-term prediction of vehicle waiting queue at ferry terminal based on machine learning method , 2016 .
[36] Biswajit Basu,et al. Time-series modelling for forecasting vehicular traffic flow in Dublin , 2005 .
[37] Yinhai Wang,et al. A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation , 2015 .
[38] William T. Scherer,et al. IMPUTATION TECHNIQUES TO ACCOUNT FOR MISSING DATA IN SUPPORT OF INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS , 2003 .
[39] Yi Zhang,et al. PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach , 2009, IEEE Transactions on Intelligent Transportation Systems.
[40] Robert Nowicki,et al. On classification with missing data using rough-neuro-fuzzy systems , 2010, Int. J. Appl. Math. Comput. Sci..
[41] Billy M. Williams,et al. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results , 2003, Journal of Transportation Engineering.
[42] Abu S.M. Masud,et al. A computer program for time series forecasting using single and double exponential smoothing technique , 1986 .