Traffic flow forecasting is a useful technology applied to solve traffic congestion problems
and to improve transportation mobility. Neural networks related approaches have been …

Credible and accurate traffic flow forecasting is critical for deploying intelligent traffic
management systems. Nevertheless, it remains challenging to develop a robust and efficient …

Accurate and reliable traffic flow forecasting is of importance for urban planning and
mitigation of traffic congestion, and it is also the basis for the deployment of intelligent traffic …

Traffic congestion is a vital factor hindering travel. As such, developing a reliable traffic
congestion early warning system is essential for providing traffic condition supervision and …

Accurate and timely short‐term traffic flow forecasting is an essential component for
intelligent traffic management systems. However, developing an effective and robust …

On account of transportation management, a predictive model of the traffic flow is built up
that would precisely predict the traffic flow, reduce longer travel delays. In prediction model …

Sažetak It is critical to implement accurate short-term traffic forecasting in traffic management
and control applications. This paper proposes a hybrid forecasting method based on neural …

A prompt and precise estimation of traffic conditions on the scale of a few minutes by
analyzing past data is crucial for establishing an effective intelligent traffic management …

This paper proposes a novel neural network (NN) training method that employs the hybrid
exponential smoothing method and the Levenberg-Marquardt (LM) algorithm, which aims to …

This paper discusses a neural network development approach based on an exponential
smoothing method which aims at enhancing previously used neural networks for traffic flow …