Galdos Systems has developed a number of solutions for urban infrastructure management. These solutions take advantage of 2D and 3D data, imagery, metadata, and other content to deliver functionality ranging from shared map updates to interactive 3D displays that include image overlays and metadata.
Intelligent City Models
Galdos products such as IN3d™ and GML INspector™ deliver functionality for creating and visualizing two- and three-dimensional models of cities. Such models can improve urban planning and the ongoing ability to manage and improve the urban infrastructure. Semantic data such as CityGML has layers of meaning that can be used to create representations of buildings and objects described by the data.
Many governments and organizations around the globe are recognizing the ability of improved urban planning to combat the issues of rapidly increasing urbanization and deteriorating urban infrastructure. In order to do this, a more holistic view of urban design is required, one that allows information about the city to be used and reused from initial concept design to final operation and maintenance.
Spatial Data Infrastructures
Galdos INtune™ is a framework on which to create Spatial Data Infrastructure (SDI) solutions.
Galdos delivered a proof-of-concept project and a testbed deployment of an SDI to manage and share updates to a shared base map of the City of Riyadh. Galdos deployed an SDI network on the INtune™ SDI Framework to connect participant databases to each other in order to manage a common base map. When updates were made to feature data shared by all the agencies, the updates were automatically propagated to the other participants, maintaining the currency of the data across all the databases.
Abu Dhabi is another city at the forefront of leveraging digital information for urban planning and management. The Municipality of Abu Dhabi City is investigating the creation of a three-dimensional model of the city.
Spatial data infrastructures provide a solution for the problem of every agency, municipality, and government department having a silo of data that isn’t, or can’t be, shared. Differences in data models are often at the root of interoperability barriers. Having an SDI that includes built-in transformations between a shared model and individual data models goes a long way towards overcoming such issues. SDIs also allow data sharing policies to be consistently applied, and improve the use and effective management of spatial data. Such initiatives can yield significant benefits in improved organization and better governance of urban infrastructure.