A Short-term Traffic Flow Forecasting Method Based on the Hybrid PSO-SVR
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Huan Wang | Wenbin Hu | Liping Yan | Kaizeng Liu | Wenbin Hu | Huan Wang | Liping Yan | Kaizeng Liu
[1] Michael J Demetsky,et al. SHORT-TERM TRAFFIC FLOW PREDICTION: NEURAL NETWORK APPROACH , 1994 .
[2] Wenbin Hu,et al. A hybrid column generation algorithm based on metaheuristic optimization , 2013 .
[3] Hussein Dia,et al. An object-oriented neural network approach to short-term traffic forecasting , 2001, Eur. J. Oper. Res..
[4] Kotaro Hirasawa,et al. Traffic conduction analysis model with time series rule mining , 2014, Expert Syst. Appl..
[5] Baher Abdulhai,et al. Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm , 2012, Eng. Appl. Artif. Intell..
[6] Zhongke Shi,et al. Short-Time Traffic Flow Prediction Based on Chaos Time Series Theory , 2008 .
[7] Billy M. Williams,et al. Comparison of parametric and nonparametric models for traffic flow forecasting , 2002 .
[8] Shing Chung Josh Wong,et al. Urban traffic flow prediction using a fuzzy-neural approach , 2002 .
[9] Huan Wang,et al. A multi-intersection model and signal timing plan algorithm for urban traffic signal control , 2014 .
[10] Wenbin Hu,et al. A Hybrid Chaos-Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with Time Window , 2013, Entropy.
[11] Rajesh Krishnan,et al. A computationally efficient two-stage method for short-term traffic prediction on urban roads , 2013 .
[12] Yuanchang Xie,et al. A Wavelet Network Model for Short-Term Traffic Volume Forecasting , 2006, J. Intell. Transp. Syst..
[13] Eleni I. Vlahogianni,et al. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach , 2005 .
[14] Baher Abdulhai,et al. Short-term traffic flow forecasting : parametric and nonparametric approaches via emotional temporal difference learning , 2013 .
[15] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[16] Yiannis Kamarianakis,et al. Space-time modeling of traffic flow , 2002, Comput. Geosci..
[17] Wei-Chiang Hong. Application of seasonal SVR with chaotic immune algorithm in traffic flow forecasting , 2010, Neural Computing and Applications.
[18] Dan Zhao,et al. Short-Term Traffic Flow Forecasting Based on Periodicity Similarity Characteristics , 2013 .
[19] A. R. Cook,et al. ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES , 1979 .
[20] Behzad Moshiri,et al. Application of temporal difference learning rules in short‐term traffic flow prediction , 2015, Expert Syst. J. Knowl. Eng..
[21] Michael J Demetsky,et al. TRAFFIC FLOW FORECASTING: COMPARISON OF MODELING APPROACHES , 1997 .
[22] Jianhua Guo,et al. Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification , 2014 .
[23] Thomas Urbanik,et al. Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network , 1998 .
[24] Maurice Aron,et al. TRAFFIC MANAGEMENT. RTS ENGLISH ISSUE NUMBER 6. ATHENA: A METHOD FOR SHORT-TERM INTER-URBAN MOTORWAY TRAFFIC FORECASTING , 1991 .
[25] B. Basu,et al. Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting , 2007 .
[26] Feifeng Zheng,et al. Hybrid evolutionary algorithms in a SVR traffic flow forecasting model , 2011, Appl. Math. Comput..
[27] Billy M. Williams,et al. MODELING AND FORECASTING VEHICULAR TRAFFIC FLOW AS A SEASONAL STOCHASTIC TIME SERIES PROCESS , 1999 .
[28] Adel W. Sadek,et al. A k Nearest Neighbor based Local Linear Wavelet Neural Network Model for On-line Short-term Traffic Volume Prediction , 2013 .
[29] I Okutani,et al. Dynamic prediction of traffic volume through Kalman Filtering , 1984 .
[30] Wang Yisheng,et al. Short-term Traffic Flow Forecasting based on Two-tier K-nearest Neighbor Algorithm , 2013 .
[31] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[32] Zuduo Zheng,et al. Short-term traffic volume forecasting : a k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm , 2014 .
[33] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[34] Lee D. Han,et al. Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions , 2009, Expert Syst. Appl..