Highway planning is a process wherein a highway network con­ sidered adequate to meet both the present and future traffic demands of an auto-oriented, ever-growing populace is visualized. It is also the process in which a procedure designed to implement the plan should be formulated. The first step in the planning process is the determination of high­ way needs. The elimination of these needs r...

Highway automation has recently enjoyed renewed research interest as a method for solving highway congestion problems. To determine the feasibility of automated highways, it will be essential to estimate the automated highway benefits. A critical task in the analysis of automated highway benefits is to estimate the potential increase in highway capacity. This paper uses deterministic approximat...

Transportation construction is a large industry—particularly highway construction, on which more than $50 billion is spent annually. Small improvements can result in significant savings in time and cost, as well as better quality and fewer disputes. In recent years, many innovations have occurred in highway construction. The atmosphere within the industry is highly charged with optimism, uncert...

materials and methods the segmentation process is evaluated using four different clustering methods with different number of clusters where some dti scalar indices for 10 human brains are processed. results the aim was to produce results with less segmentation error and a lower computational cost while attempting to minimizing boundary overlapping and minimizing the effect of artifacts due to m...

background: brain tissue segmentation for delineation of 3d anatomical structures from magnetic resonance (mr) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (gm), white matter (wm) and cerebrospinal fluid (csf), but only if the obtained segmentation results are correct. due to image arti...

introduction: appropriate definition of the distance measure between diffusion tensors has a deep impact on diffusion tensor image (dti) segmentation results. the geodesic metric is the best distance measure since it yields high-quality segmentation results. however, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. the main goal of this ...