Spatial and Temporal Patterns in Large-Scale Traffic Speed Prediction

Singapore. National Research Foundation (Singapore-MIT Alliance for Research and Technology Center. Future Urban Mobility Program)

[1]  Teuvo Kohonen,et al.  The self-organizing map , 1990, Neurocomputing.

[2]  D. T. Lee,et al.  Travel-time prediction with support vector regression , 2004, IEEE Transactions on Intelligent Transportation Systems.

[3]  Neil Davey,et al.  Time Series Prediction and Neural Networks , 2001, J. Intell. Robotic Syst..

[4]  Ani Shabri,et al.  Streamflow forecasting using least-squares support vector machines , 2012 .

[5]  Michel Pasquier,et al.  POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction , 2006, IEEE Transactions on Intelligent Transportation Systems.

[6]  L. Vanajakshi,et al.  A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[7]  Yang Zhang,et al.  Traffic forecasting using least squares support vector machines , 2009 .

[8]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[9]  H. J. Van Zuylen,et al.  Bayesian committee of neural networks to predict travel times with confidence intervals , 2009 .

[10]  Paolo Frasconi,et al.  Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning , 2013, IEEE Transactions on Intelligent Transportation Systems.

[11]  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.

[12]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[13]  Billy M. Williams,et al.  Comparison of parametric and nonparametric models for traffic flow forecasting , 2002 .

[14]  Bernhard Schölkopf,et al.  Shrinking the Tube: A New Support Vector Regression Algorithm , 1998, NIPS.

[15]  Alberto Tesi,et al.  On the Problem of Local Minima in Backpropagation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Vincent Kanade,et al.  Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.

[17]  Dongjoo Park,et al.  Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network , 1999 .

[18]  Fei-Yue Wang,et al.  Data-Driven Intelligent Transportation Systems: A Survey , 2011, IEEE Transactions on Intelligent Transportation Systems.

[19]  P. Moriarty,et al.  Low-mobility: The future of transport , 2008 .

[20]  Hojjat Adeli,et al.  Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting , 2005 .

[21]  Bernhard Schölkopf,et al.  A tutorial on support vector regression , 2004, Stat. Comput..

[22]  D.M. Mount,et al.  An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Billy M. Williams,et al.  Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models , 1998 .

[24]  Yi Lu Murphey,et al.  Real time vehicle speed prediction using a Neural Network Traffic Model , 2011, The 2011 International Joint Conference on Neural Networks.

[25]  Yinglong Wang,et al.  Short-term traffic flow forecasting based on clustering and feature selection , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[26]  Pawan Lingras,et al.  Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting , 2001, IEA/AIE.

[27]  Chih-Jen Lin,et al.  Training v-Support Vector Regression: Theory and Algorithms , 2002, Neural Computation.

[28]  Eleni I. Vlahogianni,et al.  Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach , 2005 .

[29]  Ron Shamir,et al.  CLICK and EXPANDER: a system for clustering and visualizing gene expression data , 2003, Bioinform..

[30]  Qiang Yang,et al.  A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.

[31]  Haris N. Koutsopoulos,et al.  Simulation-based dynamic traffic assignment for short-term planning applications , 2011, Simul. Model. Pract. Theory.

[32]  John McFadden,et al.  Application of Artificial Neural Networks to Predict Speeds on Two-Lane Rural Highways , 2001 .

[33]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[34]  D. F. México,et al.  Identification of rainfall patterns over the Valley of Mexico , 2008 .

[35]  Chih-Jen Lin,et al.  Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel , 2003, Neural Computation.

[36]  XiangMo Zhao,et al.  Traffic flow time series prediction based on statistics learning theory , 2002, Proceedings. The IEEE 5th International Conference on Intelligent Transportation Systems.

[37]  Mascha C. van der Voort,et al.  Combining kohonen maps with arima time series models to forecast traffic flow , 1996 .

[38]  Brian S. Penn,et al.  Using self-organizing maps to visualize high-dimensional data , 2005, Comput. Geosci..

[39]  Jiasong Zhu,et al.  A Layered Neural Network Competitive Algorithm for Short-Term Traffic Forecasting , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

[40]  Wanli Min,et al.  Real-time road traffic prediction with spatio-temporal correlations , 2011 .

[41]  L. Vanajakshi,et al.  Support Vector Machine Technique for the Short Term Prediction of Travel Time , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[42]  Susan Grant-Muller,et al.  Use of sequential learning for short-term traffic flow forecasting , 2001 .

[43]  Gunnar Rätsch,et al.  Predicting Time Series with Support Vector Machines , 1997, ICANN.

[44]  Liuqing Peng,et al.  CVAP: Validation for Cluster Analyses , 2009, Data Sci. J..