Moving objects in networks databases

Moving objects databases have become an intensive field of research in recent years with many applications such as location-based services, traffic monitoring, fleet management, etc. Most of the works in the literature assume free movement in the 2-dimensional space, although in some cases, the objects move within spatially embedded networks, e.g. vehicles in highways and trains in railways. Moreover, these works are focused on isolated aspects such as efficient query processing with specialized index structures. The aim of this PhD. project is to present a prototype of a complete database management system for efficiently storing and querying moving objects in networks, providing a comprehensive data model supporting the description of complete histories of movement, index structures for efficient query processing, an extended model handling uncertainty, and a complete integrated implementation as an algebra inside the Secondo extensible database system.