Authors: Zachery Slocum*, University of North Carolina - Charlotte, Wenwu Tang, University of North Carolina - Charlotte, Don Chen, University of North Carolina - Charlotte, Minrui Zheng, University of North Carolina - Charlotte, Jianxin Yang, University of North Carolina - Charlotte
Topics: Geographic Information Science and Systems
Keywords: Web GIS, Pavement Management System, Big Data, Pavement Distress
Session Type: Paper
Start / End Time: 9:55 AM / 11:35 AM
Room: Marshall North, Marriott, Mezzanine Level
Presentation File: No File Uploaded
Pavement management systems have been developed to collect, store, and analyze data on pavement distress across road networks. Pavement distress, which is constantly changing, must be timely updated in pavement management systems. These systems are used to assist decision-makers in maintaining and upgrading the road networks. Information on pavement distress is vital to, for example, determining the allocation of budget, which is often limited. Current pavement management systems provide a range of GIS-based analysis tools but are confined to desktop computing solutions. The management and analytics of pavement distress present a big data challenge due to the size and variety of pavement data as well as computing demand. In this study, we present an alternative Web GIS-based pavement management solution that is accessible wherever internet connectivity is available. For example, this web-based GIS approach is uniquely positioned to provide information for inspectors in the field. Our Web-based GIS offers a flexible computational platform for fusing data from a variety of sources including online geospatial web services and surveyed data for pavement distress analysis. The system uses geodatabase to support the management of massive pavement-related data via GIS-based functionality.