The present paper provides a comparative evaluation of hybrid Singular Spectrum Analysis
(SSA) and Artificial Neural Networks (ANN) against conventional ANN, applied on real time …

The paper presents a comparison of a hybrid methodology which combines Singular
Spectrum Analysis (SSA) with Artificial Neural Networks (ANN) against conventional ANN …

Real‐time expressway traffic flow prediction is always an important research field of
intelligent transportation, which is conducive to inducing and managing traffic flow in case of …

Dynamic traffic flow prediction is one of the important topics in traffic engineering and
intelligent transportation systems. The traffic flow has stochastic nature and nonlinear …

Short-term traffic flow prediction is a critical aspect of Intelligent Transportation System.
Timely and accurate traffic forecasting results are necessary inputs for advanced traffic …

As a potential solution to the growing conflict between the increasing demand for
transportation and the limited capacity of transportation infrastructure, Intelligent …

Short-term traffic prediction is an important area in Intelligent Transport Systems (ITS)
research. A number of ITS applications such as Advanced Traveller Information Systems …

The forecasting of short-term traffic flow is one of the key issues in the field of dynamic traffic
control and management. Because of the uncertainty and nonlinearity, short-term traffic flow …

Air transport demand forecasting is receiving increasing attention, especially because of
intrinsic difficulties and practical applications. Total passengers are used as a proxy for air …

Short-term forecasting of high-speed rail (HSR) passenger flow provides daily ridership
estimates that account for day-to-day demand variations in the near future (eg, next week …