An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic
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Fang Liu | Jinjun Tang | Weibin Zhang | Yinhai Wang | Yajie Zou | Weibin Zhang | Yinhai Wang | Y. Zou | Jinjun Tang | Fang Liu
[1] Xin Yu,et al. Performance and Challenges in Utilizing Non-Intrusive Sensors for Traffic Data Collection , 2013 .
[2] Dimitrios S. Dendrinos,et al. Traffic-flow dynamics: A search for chaos , 1994 .
[3] Yunpeng Wang,et al. Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory , 2015, PloS one.
[4] Nikola K. Kasabov,et al. Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[5] Fang Liu,et al. Hybrid Prediction Approach Based on Weekly Similarities of Traffic Flow for Different Temporal Scales , 2014 .
[6] Michel Pasquier,et al. POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction , 2006, IEEE Transactions on Intelligent Transportation Systems.
[7] Hojjat Adeli,et al. Wavelet‐Clustering‐Neural Network Model for Freeway Incident Detection , 2003 .
[8] Yunpeng Wang,et al. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data , 2015 .
[9] J. W. C. van Lint,et al. Online Learning Solutions for Freeway Travel Time Prediction , 2008, IEEE Transactions on Intelligent Transportation Systems.
[10] Yanru Zhang,et al. Component GARCH Models to Account for Seasonal Patterns and Uncertainties in Travel-Time Prediction , 2015, IEEE Transactions on Intelligent Transportation Systems.
[11] Susan Grant-Muller,et al. Use of sequential learning for short-term traffic flow forecasting , 2001 .
[12] Khaled Hamad,et al. Near‐Term Travel Speed Prediction Utilizing Hilbert–Huang Transform , 2009, Comput. Aided Civ. Infrastructure Eng..
[13] Yanru Zhang,et al. Hybrid short-term freeway speed prediction methods based on periodic analysis , 2015 .
[14] Antony Stathopoulos,et al. Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow , 2008 .
[15] Xuewei Li,et al. Chaotic analysis of traffic time series , 2005 .
[16] Steven I-Jy Chien,et al. DYNAMIC TRAVEL TIME PREDICTION WITH REAL-TIME AND HISTORICAL DATA , 2003 .
[17] Hans van Lint,et al. Short-Term Traffic and Travel Time Prediction Models , 2012 .
[18] Zhirui Ye,et al. Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition , 2007, Comput. Aided Civ. Infrastructure Eng..
[19] Soi Hoi Michael Lam,et al. Short-Term Travel Time Prediction Using Support Vector Regression , 2008 .
[20] Eric M. Aldrich,et al. Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center , 2006 .
[21] Eleni I. Vlahogianni,et al. Short-term traffic forecasting: Where we are and where we’re going , 2014 .
[22] Graham C. Goodwin,et al. Adaptive filtering prediction and control , 1984 .
[23] Jan-Ming Ho,et al. Travel time prediction with support vector regression , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.
[24] Muhammad Tayyab Asif,et al. Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction , 2014, IEEE Transactions on Intelligent Transportation Systems.
[25] Kaan Ozbay,et al. Predicting Travel Times for the South Jersey Real-Time Motorist Information System , 2003 .
[26] Shing Chung Josh Wong,et al. Urban traffic flow prediction using a fuzzy-neural approach , 2002 .
[27] W. Y. Szeto,et al. Short-Term Traffic Speed Forecasting Based on Data Recorded at Irregular Intervals , 2010, IEEE Transactions on Intelligent Transportation Systems.
[28] Stephen H Richards,et al. Combining the Statistical Model and Heuristic Model to Predict Flow Rate , 2014 .
[29] Nikola K. Kasabov,et al. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction , 2002, IEEE Trans. Fuzzy Syst..
[30] Eleni I. Vlahogianni,et al. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights , 2011 .
[31] Bin Zhou,et al. Dynamic Analysis of Kalman Filter for Traffic Flow Forecasting in Sensornets , 2012 .
[32] Tien C. Hsia,et al. System identification: Least-squares methods , 1977 .
[33] Biswajit Basu,et al. Real-Time Traffic Flow Forecasting Using Spectral Analysis , 2012, IEEE Transactions on Intelligent Transportation Systems.
[34] Yanru Zhang,et al. A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model , 2014 .
[35] Matthew G. Karlaftis,et al. Spectral and cross-spectral analysis of urban traffic flows , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).
[36] Der-Horng Lee,et al. Short-term freeway traffic flow prediction : Bayesian combined neural network approach , 2006 .
[37] Haitham Al-Deek,et al. Cross-Correlation Analysis and Multivariate Prediction of Spatial Time Series of Freeway Traffic Speeds , 2008 .
[38] Li Li,et al. Robust causal dependence mining in big data network and its application to traffic flow predictions , 2015 .
[39] Yunlong Zhang,et al. Forecasting of Short-Term Freeway Volume with v-Support Vector Machines , 2007 .
[40] Markos Papageorgiou,et al. RENAISSANCE – A Unified Macroscopic Model-Based Approach to Real-Time Freeway Network Traffic Surveillance , 2006 .
[41] H. J. Van Zuylen,et al. Accurate freeway travel time prediction with state-space neural networks under missing data , 2005 .
[42] Eleni I. Vlahogianni,et al. Short‐term traffic forecasting: Overview of objectives and methods , 2004 .
[43] Yang Zhang,et al. Traffic forecasting using least squares support vector machines , 2009 .
[44] Mecit Cetin,et al. Short-Term Traffic Flow Prediction with Regime Switching Models , 2006 .
[45] H.-M. Adorf,et al. Interpolation of Irregularly Sampled Data Series---A Survey , 1995 .