Projects and Grants

The information comes from the university database V3S.

Principal Investigator:
Ing. Jiří Růžička, Ph.D.
Co-Investigators:
Annotation:
Účelem řešení projektu je návrh a vytvoření zájmového kurzu specializace Inteligentní dopravní systémy určený pro oslovené studenty středoškolského studie. Kurz se zaměří na seznámení oslovených středoškoláků se základními tématy specializace s důrazem na jejich možné uplatnění v praxi. Předpokladem je vytvoření kurzu v online prostředí a následné oslovení a distribuce studentům středoškolského studia. Zároveň jej bude možné využít jako doplňující výukový materiál pro bakalářské studenty i pro další formy vzdělávání (CŽV). Kurz se bude skládat minimálně z videoprůvodce specializací Inteligetní dopravní systémy, jehož osnova bude plynou z bakalářských předmětů ve specializace, přípravy interaktivních drobných úkolů, které mohou středoškolští studenti přímo v online prostředí vykonat a přípravy vhodných materiálů k oslovení středoškolských studentů. Předpokladem je zapojení studentů doktorského studia do přípravy kurzu.
Department:
Program:
The "PPSR" internal calls

Principal Investigator:
Ing. Zuzana Bělinová, Ph.D.
Co-Investigators:
Ing. Jiří Brož, MSc., Ph.D.; doc. Ing. Pavel Hrubeš, Ph.D.; Ing. Zuzana Purkrábková
Annotation:
Efficient and sustainable road transport is essential for any country’s economic and social development. However, many countries face challenges such as traffic congestion, road accidents, high costs, environmental impact, the growing demand and complexity of mobility for both people and goods. Traditional systems often struggle to weigh and address these issues together, relying heavily on infrastructure-based solutions that are costly and increasingly insufficient. Intelligent Transportation Systems (ITS) offer modern solutions by integrating technology, real-time data, engineering, and automation across road infrastructure, vehicles, and users. ITS promote traffic flow, enhancing road safety, reducing emissions, and supporting the development towards smarter and greener cities. Adopting ITS is not just an option; it becomes a necessity for a sustainable future and meeting national, EU and global targets as SDGs. BALKANITS is a multi-country project involving a consortium of two partner universities in each of Balkan countries BA-XK-ME in addition to three universities in EU CZ-RO-SE. The project aims to develop, adapt and implement innovative full/micro degree master’s programs in ITS within joint efforts between partner universities according to the existing ITS master programs at EU partner universities, Bologna requirements, EU standards, best practices, and national accreditation standards. The new/upgraded curricula will be supported by innovative elements for teaching and learning includes specialised courses for professionals, blended learning, challenge-based learning (CBL), capacity building and All-in-One web-based platform includes: web-based knowledge base, web-platform for universities-stakeholders collaboration, analytical database, video lectures, Virtual Reality (VR), summer schools, EU-Balkan handbook of best practices, etc. The project aims to equip both students and professionals in BA-XK-ME with strong theoretical and practical ITS skills.
Department:
Year:
2026 - 2028
Program:
Erasmus+ - 101236409

Principal Investigator:
Co-Investigators:
doc. Ing. Pavel Hrubeš, Ph.D.
Annotation:
The research deals with the detection of detours of an accident on the main road based on floating car data. Based on this data, it is possible to monitor the behavior of users in these incidents. The result is actually used bypass routes and the impacts of these routes on their surroundings. This selection is caused by restrictions on the main road.
Department:
Year:
2021 - 2021
Program:
Studentská grantová soutěž ČVUT - SGS21/080/OHK2/1T/16

Principal Investigator:
Co-Investigators:
doc. Ing. Pavel Hrubeš, Ph.D.
Annotation:
The research deals with the creation of alternative routes based on data derived from floating cars. Based on the data obtained, it is possible to determine the travel time between selected nodes in the network and their possible alternative routes. The results are real main and alternative routes between nodes, effects of creation and impacts of creation of these alternative routes.
Department:
Year:
2020 - 2020
Program:
Studentská grantová soutěž ČVUT - SGS20/082/OHK2/1T/16