Speed prediction for triggering vehicle activated signs
暂无分享,去创建一个
[1] A. Arabi Yazdi,et al. Flood flow forecasting using ANN, ANFIS and regression models , 2013, Neural Computing and Applications.
[2] Matthew G. Karlaftis,et al. A multivariate state space approach for urban traffic flow modeling and prediction , 2003 .
[3] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[4] 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.
[5] Hojjat Adeli,et al. TOWARD INTELLIGENT VARIABLE MESSAGE SIGNS IN FREEWAY WORK ZONES: NEURAL NETWORK MODEL , 2004 .
[6] Hussein Dia,et al. An object-oriented neural network approach to short-term traffic forecasting , 2001, Eur. J. Oper. Res..
[7] Antony Stathopoulos,et al. Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow , 2008 .
[8] Mascha C. van der Voort,et al. Combining kohonen maps with arima time series models to forecast traffic flow , 1996 .
[9] L K Walter,et al. Effectiveness of speed indicator devices on reducing vehicle speeds in London , 2008 .
[10] Fi-John Chang,et al. Adaptive neuro-fuzzy inference system for prediction of water level in reservoir , 2006 .
[11] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[12] Mahmoud Omid,et al. Development of an intelligent system based on ANFIS for predicting wheat grain yield on the basis of energy inputs , 2014 .
[13] Nazrin Ullah,et al. Flood Flow Modeling in a River System Using Adaptive Neuro-Fuzzy Inference System , 2013 .
[14] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[15] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[16] Jonathan R. M. Hosking,et al. Partitioning Nominal Attributes in Decision Trees , 1999, Data Mining and Knowledge Discovery.
[17] Shing Chung Josh Wong,et al. Urban traffic flow prediction using a fuzzy-neural approach , 2002 .
[18] Amir Etemad-Shahidi,et al. An alternative approach for the prediction of significant wave heights based on classification and regression trees , 2008 .
[19] Adel W. Sadek,et al. A prototype case-based reasoning system for real-time freeway traffic routing , 2001 .
[20] S. A. Smulders,et al. Variable speed control: state-of-the-art and synthesis , 1998 .
[21] Chiu Liu,et al. Kalman filtering estimation of traffic counts for two network links in tandem , 2003 .
[22] Susan Grant-Muller,et al. Use of sequential learning for short-term traffic flow forecasting , 2001 .
[23] Byungkyu Park,et al. Hybrid Neuro-Fuzzy Application in Short-Term Freeway Traffic Volume Forecasting , 2002 .
[24] Yorgos J. Stephanedes,et al. COMPARATIVE EVALUATION OF ADAPTIVE AND NEURAL-NETWORK EXIT DEMAND PREDICTION FOR FREEWAY CONTROL , 1994 .
[25] Mark Dougherty,et al. SHORT TERM INTER-URBAN TRAFFIC FORECASTS USING NEURAL NETWORKS , 1997 .
[26] Mark Dougherty,et al. Effectiveness of trigger speed of vehicle-activated signs on mean and standard deviation of speed , 2016 .
[27] Khaled Almejalli. Intelligent real-time decision support systems for road traffic management : multi-agent based fuzzy neural networks with a GA learning approach in managing control actions of road traffic centres , 2010 .
[28] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[29] Virginia P Sisiopiku,et al. Implementing Active Traffic Management Strategies in the U.S. , 2009 .
[30] Lin Yan,et al. Urban Expressway Control Based on Fuzzy Logic and Variable Speed Limit , 2007 .
[31] Mark Dougherty,et al. A REVIEW OF NEURAL NETWORKS APPLIED TO TRANSPORT , 1995 .
[32] Stef Smulders,et al. Control of freeway traffic flow by variable speed signs , 1990 .
[33] Ashraf Fahmy,et al. Neuro-fuzzy modelling and control of robotic manipulators , 2005 .
[34] Michael J Demetsky,et al. TRAFFIC FLOW FORECASTING: COMPARISON OF MODELING APPROACHES , 1997 .
[35] P. Coiffet. Modelling and Control , 1983 .
[36] Zhaosheng Yang,et al. A new algorithm of incident detection on freeways , 2001, IVEC2001. Proceedings of the IEEE International Vehicle Electronics Conference 2001. IVEC 2001 (Cat. No.01EX522).
[37] Zhirui Ye,et al. Short-Term Traffic Flow Forecasting Using Fuzzy Logic System Methods , 2008, J. Intell. Transp. Syst..
[38] Tao Li,et al. Adaptive dynamic neuro-fuzzy system for traffic signal control , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[39] Hashem R Al-Masaeid,et al. Short-Term Prediction of Traffic Volume in Urban Arterials , 1995 .
[40] Lawrence W. Lan,et al. A Novel Method to Predict Traffic Features Based on Rolling Self-Structured Traffic Patterns , 2014, J. Intell. Transp. Syst..
[41] Eleni I. Vlahogianni,et al. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach , 2005 .
[42] M. W Gardner,et al. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences , 1998 .