Abstract: Many recent intelligent transportation systems (ITS) deployments feature vehicle probes as prominent sources of information about traffic conditions in addition to, or in place of, fixed-location measurement devices such ...

Abstract: Predicting accurate peak-hour traffic volumes has become increasingly important; these volumes are being used for quantitative analysis; for determining benefits of highway improvements; and for estimating pollutant emission ...

Abstract: Artificial neural networks are efficient computing techniques that are widely used to solve complex problems in many fields. In this study, a counterpropagation neural network is used to locate structural damage for a beam, ...

Abstract: A critical part of any risk assessment is identifying how to represent exposure to the risk involved. Recent research shows that the relationship between crash count and traffic volume is nonlinear; consequently, a simple ...