Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …

In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …

Since the early 1980s, short-term traffic forecasting has been an integral part of most
Intelligent Transportation Systems (ITS) research and applications; most effort has gone into …

In the field of transportation, data analysis is probably the most important and widely used
research tool available. In the data analysis universe, there are two 'schools of thought'; the …

Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

Traffic flow prediction has received extensive attention recently, since it is a key step to
prevent and mitigate traffic congestion in urban areas. However, most previous studies on …

A probabilistic neural network (PNN) is presented for predicting the magnitude of the largest
earthquake in a pre-defined future time period in a seismic region using eight …

Short-term prediction is one of the essential elements of intelligent transportation systems
(ITS). Although fine prediction methodologies have been reported, most prediction methods …

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 …

Car following models have been studied with many diverse approaches for decades.
Nowadays, technological advances have significantly improved our traffic data collection …