ANNOUNCEMENTS
Geovisualization can be used for effective communication of data quality and prioritize distribution of work through visual queue. This study aimed at providing an insight into the data quality of curvatures which are used for navigating through routes as well as providing another framework which uses the power of spatial datasets. It has been found that in different regions, based on several datasets, the issue of digitizing curvature persists on different tangents which are impacting the overall product and offerings of the company. These errors in road geometries have been said to have an impact on routing and not reflecting the reality as well as fuel consumption by the automotive. Visualization has been used to find such errors and provided useful insights. In recent times there have been concerns over the precision and dependability of spatial data which has piqued an interest in using Geovisualization as a tool to grasp and convey the reliability of GIS. In order to deal with such corrections on millions of data, it is necessary to come up with a framework which deals with prioritizing the work based on the spatial attributes. These attributes are already in place by the company and are further used for narrowing the areas with high priority. This work proposes a set of frameworks which can deal with the stated issues and make the data quality better and relatively error-free. The developed framework aims at increasing the quality by at least 60% and the spatial decision-making will be revamped for respective work to be delivered. Even though, the functionality of ADAS had been given more preference in the past, the model emphasis on the need of checking Non-ADAS links as well. The outcome of this study states a mechanism and a framework for both finding errors and using a prioritization model to correct these errors. It has shown that over 8% of errors are present in the active database. This paper provides an outline of a project focused on developing a GIS-based framework for estimating errors and maintenance prioritization.
Keywords: Geovisualization, Navigation, Digitization, Error detection, Spatial prioritization, Data quality
