Research and Development

The objective of the project is to increase road safety and reduce the risk of traffic accidents by leveraging extended data from vehicle ADAS systems and combining them with data from the Traffic Accident Portal to predict accident-prone locations using machine learning algorithms. Enhanced operational data will enable...

The project includes an analysis of legislation, technological advancements, and application possibilities of spatial syntax for security planning. The output will be a methodological procedure and supporting materials for the development of a software tool enabling the efficient design of a safer urban environment. …

PLIADES advances the SoA dataspaces reference architectures, towards a step change on the use of data as key enabler of technological advances in AI and Robotics. To this end, PLIADES researches into novel, AI-enabled tools to advance full data life cycles integration, both within and between data spaces....

MITHOS project aims to transform multimodal transport infrastructure management through an innovative AI-driven Decision Support System (DSS). Multimodal transport is crucial to advance safer, more resilient and sustainable mobility solutions for both passengers and freight. MITHOS addresses mayor issues by developing a comprehensive and cloud-based platform that centralizes...

The aim of the project is to develop the BIMMANAGER software solution prototype into a verified, application-validated, and commercially ready product for managing non-graphical BIM data. The project focuses on verifying the technical feasibility, functional behavior, and application relevance of the solution in a real environment, in line...

Verify the technical feasibility and commercial potential of the proposed solution, develop advanced data models, prediction algorithms, and tools using machine learning methods, and implement new data formats and support tools enabling interoperability across systems. The outputs will also include the preparation of background materials and recommendations for...

The project focuses on developing an advanced diagnostic system for railway infrastructure using AI and modern sensor networks. The aim is to create a system capable of detecting damage to the railway superstructure caused by the condition of passing rolling stock, utilizing AI. The system will enable precise...

The main goal of the BEZDATA project is the experimental development of a decision support system for the implementation of safety standards in healthcare facilities. It is a Decision Support System (DSS) that uses formally structured rules and expert logic for automated evaluation of proposals in accordance with...