With the kick-off meeting held in Madrid on 13.12.2018, the HiDALGO project (called upon by INFRAEDI 2018-2020 which is financed by the Horizon 2020 programme) has been officially launched.
The HiDALGO (HPC and Big Data Technologies for Global Systems) project mainly belongs to development projects related to Intelligent Transportation Systems (ITS), and its main target is the analyses of “Big Data” using supercomputers. The cooperation coordinated by the University of Stuttgart involves German, Austrian, Greek, British and Hungarian research institutions, with a budget of 7 000 000 EUR. The project focuses on using Big Data Analysis in order to assess three very topical issues in today’s society:
- analysis of Twitter data in order to assess influence on public opinion
- in-depth analysis of African migration flows and processes
- analysis and influence of traffic habits in order to improve air quality parameters
The Hungarian research partner is Széchenyi István University (SZE), Hungarian Public Roads oversees implementation and operation, and a third Hungarian partner – ARH Informatikai Zrt – also takes part in the above project.
The objective is to integrate sensor data into supercomputing systems. Hungarian researchers are building a supercomputing model in order to improve air quality parameters in the town of Győr. ARH Zrt is going to install traffic monitoring/license plate cameras for the establishment of traffic matrixes on the operated road network. Hungarian Public Road Nonprofit PLC will be in charge of the operation of these devices and will provide expertise on matters related to traffic management/control. The model might be integrated into the adaptive traffic control system of the town, this being subject to further discussions with the city council.
The aid intensity is 100% of the total eligible net costs (excluding VAT), amounting to 120,000 EUR. The grant agreement has been signed, the project will be completed in 2021.
Áron Kovács
Traffic management engineer
