Nowadays, the fast development of positioning and telecommunication technologies has made geospatial data widely available from a variety of sources: GPS devices, smartphones, tablets, etc. This allows for a variety of uses of this data for a good cause. This type of data can be very helpful in designing smart and sustainable cities as information extracted from this spatio-temporal data can be used to measure and evaluate population movement, road traffic, the impact of urban planning policies, etc. Thus, our main objectives in this project are shaped around the idea of modeling human mobility and prediction because it is the key step towards a new, smart, innovative and sustainable living environment.
This project is supported by Achimedes Foundation and Mooncascade OÜ under the Framework of Support for Applied Research in Smart Specialization Growth Areas.
With the rapid progress in information and communication technology many applications have been put into practice for solving precise problems. In addition, these applications are generating massive information and data. From this perspective, the idea is to make use of this big data and create algorithms and tools for better understanding of the data, quality assessment, performance analysis, and detection of security related anomalies.
This project is supported by Achimedes Foundation and GoSwift OÜ under the Framework of Support for Applied Research in Smart Specialization Growth Areas.