4.4 Article

Seasonal Autoregressive Integrated Moving Average and Support Vector Machine Models Prediction of Short-Term Traffic Flow on Freeways

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

Manoel Castro-Neto et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Computer Science, Artificial Intelligence

Particle swarm optimization for parameter determination and feature selection of support vector machines

Shih-Wei Lin et al.

EXPERT SYSTEMS WITH APPLICATIONS (2008)

Article Computer Science, Artificial Intelligence

A GA-based feature selection and parameters optimization for support vector machines

Cheng-Lung Huang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2006)

Article Engineering, Civil

Short-term freeway traffic flow prediction: Bayesian combined neural network approach

WZ Zheng et al.

JOURNAL OF TRANSPORTATION ENGINEERING (2006)

Article Management

A hybrid ARIMA and support vector machines model in stock price forecasting

PF Pai et al.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2005)

Article Engineering, Civil

Dynamic wavelet neural network model for traffic flow forecasting

XM Jiang et al.

JOURNAL OF TRANSPORTATION ENGINEERING (2005)

Article Engineering, Civil

Travel-time prediction with support vector regression

CH Wu et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2004)

Article Transportation Science & Technology

A multivariate state space approach for urban traffic flow modeling and prediction

A Stathopoulos et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2003)

Article Engineering, Civil

Traffic prediction using multivariate nonparametric regression

S Clark

JOURNAL OF TRANSPORTATION ENGINEERING (2003)

Article Computer Science, Artificial Intelligence

Time series forecasting using a hybrid ARIMA and neural network model

GP Zhang

NEUROCOMPUTING (2003)

Article Computer Science, Artificial Intelligence

Training ν-support vector regression:: Theory and algorithms

CC Chang et al.

NEURAL COMPUTATION (2002)

Article Transportation Science & Technology

Comparison of parametric and nonparametric models for traffic flow forecasting

BL Smith et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2002)

Article Transportation Science & Technology

Urban traffic flow prediction using a fuzzy-neural approach

HB Yin et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2002)

Article Transportation Science & Technology

Use of sequential learning for short-term traffic flow forecasting

H Chen et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2001)