Author(s)

D. Goulias

Abstract

Highway agencies are developing and using management systems (MS) for maintaining and managing transportation facilities. These management systems are designed for a specific transportation component. Examples include. pavements (PMS). bridges (BMS), congestion (CMS), and other. Most of these systems are GIS based for taking advantage, among other, the visual representation of tie analysis in space. Several of the data information and predictions used m these MS arc both time dependent phenomena and location related. In the first case, analysis and predictions consider advance statistics. such as time series, for capturing the time dependent effects. The spatial correlation of such variables is often treated with statistical sampling methods so as to minimize such spatial dependence. This paper presents, (using pavement surface temperature as an example), the methodology for using spatial data analysis, and thus the use of spatial correlation for improving data analysis and predictions. This method is applicable to any variable of interest that is spatially distributed and its measurements are correlate in space.

Keywords