The University of New Brunswick

Published purpose

With the rapid growth of population in cities, the associated complexities and challenges due to the accelerated demand for basic services such as housing, transportation, healthcare and employment are also rising. This increased urban expansion exerts pressure on the natural resources and contributes to the greenhouse gas emission. Digital technologies, particularly, smart cities can help in addressing many of these challenges related to urban growth. Geospatial analytics and 3D spatial query processing techniques will be key enabler for the smart cities technologies. However, the existing spatial data systems, specifically, relational database systems (RDBMS), cannot meet the requirements for complex 3D spatial data analytics. Therefore, through this project the collaborative research team will aim to develop novel techniques for a new generation of spatial data systems that can address the challenges of smart cities. The team will investigate how to develop techniques for efficient storage and retrieval of 3D spatial data, explore novel spatio-visual queries and investigate privacy preserving query processing approaches.