Projects and Grants

The information comes from the university database V3S.

Principal Investigator:
Ing. Zuzana Bělinová, Ph.D.
Co-Investigators:
Ing. Jiří Brož, MSc., Ph.D.; doc. Ing. Pavel Hrubeš, Ph.D.; Ing. Zuzana Purkrábková, Ph.D.
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:
doc. Ing. Tomáš Tichý, Ph.D., MBA
Co-Investigators:
Ing. Jiří Brož, MSc., Ph.D.; Ing. Zuzana Bělinová, Ph.D.
Annotation:
Cílem projektu je zvýšení spolehlivosti efektivity a optimalizace provozu a údržby tunelových staveb. Projekt se ve své podstatě zaměřuje na vytvoření informačního modelu tunelových zařízení a technologie za podpory nových projekčních a simulačních přístupů s vazbou na sběr dat a řídicí systémy tunelů. V rámci projektu budou využity výzkumné metody, umožňující efektivní, operativní a kvalitní transformaci dat pro vznik informačních modelů tunelové technologie. V rámci řešení budou identifikovány hlavní faktory ovlivňující dopady aplikace informačního modelování s cílem dosáhnout zajištění efektivní údržby. Výsledkem budou konkrétní SW, návrhy a doporučení pro správce a provozovatele tunelových technologií, jež povedou k prověření a zajištění kontinuity provozu tunelových systémů.
Department:
Year:
2026 - 2028
Program:
Program na podporu aplikovaného výzkumu a inovací v oblasti dopravy – DOPRAVA 2030

Principal Investigator:
Ing. Jiří Brož, MSc., Ph.D.
Annotation:
The main goal of the project is to optimize traffic in the urban environment by using adaptive artificial intelligence, which will ensure reliable prediction and effective control of traffic lights at intersections. Real-time data from the intersection controller will be used, including detectors and other input parameters, which will enable the adaptive AI module to predict the status of signaling and provide accurate information about the upcoming situation at signalized intersections. The development and application of the system will support the traffic flow, shorten driving times,safety, accurately predict traffic demand, increase the awareness of road users, thereby contributing to and fundamentally supporting new technologies in the transport system.
Department:
Year:
2025 - 2026
Program:
Program na podporu aplikovaného výzkumu a inovací SIGMA

Principal Investigator:
doc. Ing. Tomáš Tichý, Ph.D., MBA
Co-Investigators:
Ing. Jiří Brož, MSc., Ph.D.; Ing. Jiří Růžička, Ph.D.
Annotation:
The project golas to develop tools for sustainable urban mobility supported by simulations, traffic engineering data and new approaches to TLC management. The traffic management optimizations include additional data needed regarding emissions, vehicle energy balance, information from vehicle units and other data needed.
Department:
Year:
2025 - 2027
Program:
Program na podporu aplikovaného výzkumu a inovací SIGMA

Principal Investigator:
Ing. Jiří Brož, MSc., Ph.D.
Annotation:
Cílem projektu je vytvoření komplexního systému pro zvyšování bezpečnosti dopravy.
Department:
Year:
2023 - 2025
Program:
Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Principal Investigator:
doc. Ing. Tomáš Tichý, Ph.D., MBA
Co-Investigators:
Ing. Jiří Brož, MSc., Ph.D.
Annotation:
Cílem projektu je analýza, návrh a testování.
Department:
Year:
2023 - 2025
Program:
Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Principal Investigator:
doc. Ing. Tomáš Tichý, Ph.D., MBA
Co-Investigators:
Ing. Jiří Brož, MSc., Ph.D.
Annotation:
ELABORATOR will provide methodologies, practical tools, recommendations, and guidelines to support not only urban planners and industrial technology players in designing innovative products, services and interventions to be deployed in the complex urban environments, but also authorities and policy makers in defining the political strategies to introduce safe, sustainable and inclusive urban mobility in our lives based on the new EU Urban Mobility Framework, thus contribute to the objectives of the Climate Neutral and Smart Cities Mission. In parallel, pre-assessment capabilities will be extended to provide local authorities with foresights onto future offers to test and adjust upcoming policies.
Department:
Year:
2023 - 2026
Program:
Horizon Europe - SEP-210876302

Principal Investigator:
Ing. Tomáš Šmerda
Co-Investigators:
Ing. Jiří Brož, MSc., Ph.D.; doc. Ing. Zdeněk Lokaj, Ph.D., LL.M.; doc. Ing. Tomáš Tichý, Ph.D., MBA
Annotation:
The main goal of this project will be to analyze the possibilities of using diagnostic methods of equipment in tunnel systems, based on which a proposal will be developed that would lead to the use of predictive diagnostics and detection of error or fault conditions of the device at the moment when the device enters such a state. The use of predictive diagnostics could be a key topic for the so-called predictive maintenance, ie, among other things, tunnel closure planning, equipment replacement, efficient operation, reduction of economic resources and system sustainability.
Department:
Year:
2022 - 2023
Program:
Studentská grantová soutěž ČVUT - SGS22/123/OHK2/2T/16

Principal Investigator:
Ing. Jiří Brož, MSc., Ph.D.
Co-Investigators:
doc. Ing. Zdeněk Lokaj, Ph.D., LL.M.; doc. Ing. Tomáš Tichý, Ph.D., MBA; Ing. Tomáš Šmerda
Annotation:
The main goal of this project will be to develop a solution that will be based on a specific approach for determining the position and speed in a vehicle tunnel. The proposed comprehensive approach will ensure the collection of data from a device of the BLE (Bluetooth Low Energy) type, on the basis of which the exact position and speed of the vehicle will be further determined, which will be evaluated by the proposed algorithm. The solution will take into account the specific environment of tunnel construction, ie areas where it is generally impossible to collect GNSS or other available options for determining the position of the vehicle, usable for rescue operations, but also its own location, support tool for navigation services and other uses.
Department:
Year:
2022 - 2023
Program:
Studentská grantová soutěž ČVUT - SGS22/121/OHK2/2T/16