A hybrid model for forecasting the volume of passenger flows on Serbian railways

Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

(2014) Xiushan Jiang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Testing and Comparing Neural Network and Statistical Approaches for Predicting Transportation Time Series

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH RECORD

Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks

(2011) Yu Wei et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

(2010) M.G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

An Aggregation Approach to Short-Term Traffic Flow Prediction

(2009) Man-Chun Tan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Seasonal ARIMA forecasting of inbound air travel arrivals to Taiwan

(2009) Ching-Fu Chen et al.   Transportmetrica

AADT prediction using support vector regression with data-dependent parameters

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS

Neural network based temporal feature models for short-term railway passenger demand forecasting

(2008) Tsung-Hsien Tsai et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-Term Traffic Flow Forecasting Using Fuzzy Logic System Methods

(2008) Yunlong Zhang et al.   Journal of Intelligent Transportation Systems

GA-based fuzzy controller design for tunnel ventilation systems

(2007) Baeksuk Chu et al.   AUTOMATION IN CONSTRUCTION

Soft-computing techniques and ARMA model for time series prediction

(2007) I. Rojas et al.   NEUROCOMPUTING

Combining radial basis function neural network and genetic algorithm to improve HDD driver IC chip scale package assembly yield

(2006) M.L. Huang et al.   EXPERT SYSTEMS WITH APPLICATIONS