An Online Change-Point-Based Model for Traffic Parameter Prediction
暂无分享,去创建一个
[1] H. Bergman,et al. Detection of onset of neuronal activity by allowing for heterogeneity in the change points , 2002, Journal of Neuroscience Methods.
[2] Michael J Demetsky,et al. TRAFFIC FLOW FORECASTING: COMPARISON OF MODELING APPROACHES , 1997 .
[3] Lu Sun,et al. Development of Multiregime Speed–Density Relationships by Cluster Analysis , 2005 .
[4] Man-Chun Tan,et al. An Aggregation Approach to Short-Term Traffic Flow Prediction , 2009, IEEE Transactions on Intelligent Transportation Systems.
[5] Tharam S. Dillon,et al. Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm , 2012, IEEE Transactions on Intelligent Transportation Systems.
[6] Jianhua Guo,et al. Real-Time Short-Term Traffic Speed Level Forecasting and Uncertainty Quantification Using Layered Kalman Filters , 2010 .
[7] Markos Papageorgiou,et al. Real-time freeway traffic state estimation based on extended Kalman filter: a general approach , 2005 .
[8] Daiheng Ni,et al. Composite Nearest Neighbor Nonparametric Regression to Improve Traffic Prediction , 2007 .
[9] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[10] Mohammed Hadi,et al. Freeway Travel Time Prediction with Dynamic Neural Networks , 2010 .
[11] Volodymyr Melnykov,et al. Initializing the EM algorithm in Gaussian mixture models with an unknown number of components , 2012, Comput. Stat. Data Anal..
[12] L. Baum,et al. An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology , 1967 .
[13] Enrique F. Castillo,et al. Stochastic Demand Dynamic Traffic Models Using Generalized Beta-Gaussian Bayesian Networks , 2012, IEEE Transactions on Intelligent Transportation Systems.
[14] Xiaoyan Zhang,et al. Short-term travel time prediction , 2003 .
[15] Bin Ran,et al. Online Recursive Algorithm for Short-Term Traffic Prediction , 2004 .
[16] Hani S. Mahmassani,et al. Adaptive Calibration of Dynamic Speed-Density Relations for Online Network Traffic Estimation and Prediction Applications , 2004 .
[17] Matthew G. Karlaftis,et al. A multivariate state space approach for urban traffic flow modeling and prediction , 2003 .
[18] P. Fearnhead,et al. A sequential smoothing algorithm with linear computational cost. , 2010 .
[19] James D. Hamilton. Calling Recessions in Real Time , 2010 .
[20] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[21] Yiannis Kamarianakis,et al. Characterizing regimes in daily cycles of urban traffic using smooth-transition regressions , 2010 .
[22] George Casella,et al. An objective Bayesian analysis of the change point problem , 2005 .
[23] Steven Reece,et al. Sequential Bayesian Prediction in the Presence of Changepoints and Faults , 2010, Comput. J..
[24] Yan Qi. Probabilistic Models for Short Term Traffic Conditions Prediction , 2010 .
[25] Wanli Min,et al. Real-time road traffic prediction with spatio-temporal correlations , 2011 .
[26] Eleni I. Vlahogianni,et al. Statistical methods versus neural networks in transportation research: Differences, similarities and some insights , 2011 .
[27] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[28] Yiannis Kamarianakis. The Oxford handbook of economic forecasting , 2012 .
[29] Jennifer L. Castle,et al. Forecasting breaks and forecasting during breaks , 2011 .
[30] Khaled Hamad,et al. Near‐Term Travel Speed Prediction Utilizing Hilbert–Huang Transform , 2009, Comput. Aided Civ. Infrastructure Eng..
[31] Der-Horng Lee,et al. Short-term freeway traffic flow prediction : Bayesian combined neural network approach , 2006 .
[32] Ryan Turner. Bayesian Change Point Detection for Satellite Fault Prediction , 2010 .
[33] Tom Thomas,et al. Predictions of Urban Volumes in Single Time Series , 2010, IEEE Transactions on Intelligent Transportation Systems.
[34] James D. Hamilton. Regime switching models , 2010 .
[35] Carl E. Rasmussen,et al. Gaussian Process Change Point Models , 2010, ICML.
[36] Antony Stathopoulos,et al. Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow , 2008 .
[37] M. J. Bayarri,et al. Objective Bayesian Analysis of Multiple Changepoints for Linear Models , 2006 .
[38] Michael P. Clements,et al. Intercept Corrections and Structural Change , 1996 .
[39] Yunlong Zhang,et al. Intelligent Intersection Traffic Flow Prediction Based on Fuzzy Neural Network , 2010 .
[40] Michael P. Clements,et al. Forecasting economic and financial time-series with non-linear models , 2004 .
[41] Michael P. Clements,et al. Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts , 2011 .
[42] Gilles Celeux,et al. Selecting hidden Markov model state number with cross-validated likelihood , 2008, Comput. Stat..
[43] Eleni I. Vlahogianni,et al. Short‐term traffic forecasting: Overview of objectives and methods , 2004 .
[44] Biswajit Basu,et al. Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis , 2009, IEEE Transactions on Intelligent Transportation Systems.
[45] Billy M. Williams. Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling , 2001 .
[46] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[47] Taha B. M. J. Ouarda,et al. Synthèse des techniques d'homogénéisation des séries climatiques et analyse d'applicabilité aux séries de précipitations , 2007 .
[48] Hani S. Mahmassani,et al. Adaptive Speed Estimation Using Transfer Function Models for Real-Time Dynamic Traffic Assignment Operation , 2002 .
[49] Xiaoyan Zhang,et al. Short-Term Travel Time Prediction Using A Time-Varying Coecient Linear Model ? , 2001 .
[50] D. Mare,et al. The Oxford Handbook of Economic Forecasting , 2015, J. Oper. Res. Soc..
[51] 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.
[52] Bernhard Friedrich,et al. Comparison of Univariate and Multivariate Time Series Models in Short-Term Freeway Traffic Flow Forecasting , 2010 .
[53] Adel W. Sadek,et al. A novel forecasting approach inspired by human memory: The example of short-term traffic volume forecasting , 2009 .
[54] Yiannis Kamarianakis,et al. Modeling Traffic Volatility Dynamics in an Urban Network , 2005 .
[55] Eleni I. Vlahogianni,et al. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach , 2005 .
[56] A. Timmermann. Forecast Combinations , 2005 .
[57] Erik van Zwet,et al. A simple and effective method for predicting travel times on freeways , 2004, IEEE Transactions on Intelligent Transportation Systems.
[58] Mecit Cetin,et al. Short-Term Traffic Flow Prediction with Regime Switching Models , 2006 .
[59] I Okutani,et al. Dynamic prediction of traffic volume through Kalman Filtering , 1984 .
[60] Billy M. Williams,et al. Comparison of parametric and nonparametric models for traffic flow forecasting , 2002 .
[61] Biswajit Basu,et al. Real-Time Traffic Flow Forecasting Using Spectral Analysis , 2012, IEEE Transactions on Intelligent Transportation Systems.
[62] P. Deb. Finite Mixture Models , 2008 .
[63] Eleni I. Vlahogianni,et al. Memory properties and fractional integration in transportation time-series , 2009 .
[64] D. A. Evans,et al. An approach to the probability distribution of cusum run length , 1972 .
[65] Robert Lund,et al. Detection of Undocumented Changepoints: A Revision of the Two-Phase Regression Model , 2002 .
[66] Hani S. Mahmassani,et al. Estimation and Application of Dynamic Speed-Density Relations by Using Transfer Function Models , 2000 .
[67] L. Baum,et al. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains , 1970 .
[68] Joe Whittaker,et al. TRACKING AND PREDICTING A NETWORK TRAFFIC PROCESS , 1997 .
[69] S. P. Hoogendoorn,et al. Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks , 2002 .