Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …

Ensemble forecasting is a modeling approach that combines data sources, models of
different types, with alternative assumptions, using distinct pattern recognition methods. The …

Traffic flow forecasting is a necessary part in the intelligent transportation systems in
supporting dynamic and proactive traffic control and making traffic management plan …

The accurate prediction of real-time traffic flow is indispensable to intelligent transport
systems. However, the short-term prediction remains a thorny issue, due to the complexity …

Traffic flow decomposition is an alternative method to explore the composition of traffic flow
and improve prediction accuracy. However, most of them suffer from the inability to fully …

Short-term traffic prediction can be defined as the process of estimating the anticipated traffic
conditions in the short-term future given historical and current traffic information (Vlahogianni …

Together with the increasing population and urbanization, cities have started to face
challenges that hinder their socio-economic and sustainable development. The concept of …

Numerous studies employ multi-scale decomposition to improve the prediction performance
of neural networks, but the grounds for selecting the decomposition algorithm are not …

With the overwhelming amount of transportation data being gathered worldwide, Intelligent
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …

One of the most challenging issues when facing a classification problem is to deal with
imbalanced datasets. Recently, ensemble classification techniques have proven to be very …