Projects and Grants

The information comes from the university database V3S.

Principal Investigator:
doc. Ing. Tomáš Horák, Ph.D.
Co-Investigators:
Ing. Michal Drábek, Ph.D.; Ing. Bc. Zdeněk Michl; prof. Ing. Ondřej Přibyl, Ph.D.
Annotation:
Freight transport and logistics are in a period of transformation where the increased availability of digital technologies is rapidly transforming market structures and logistics business models, and the legislative and policy frameworks are moving towards the minimization of the environmental impact of transport. The rapid structural, organisational, and behavioural changes of the sector make existing data, models, and tools lag behind current developments. In response, the STORM project aims to study transformation and structural changes in freight and logistics business structures from different perspectives, focusing on the future challenges and needs of the sector by developing new methods and tools to support digitalization, sustainability transition, and future policy needs. STORM will create a unique platform for dialog with all relevant stakeholder groups to identify key elements for future horizons and directions for freight and logistics research, business and polices. The project will develop new generation, beyond current state-of-the-art transport data analytics, models and solutions through industry use cases and contribute to sector innovations and competitiveness. STORM output will be a toolbox bringing together tools and methods centring on Big Data, data fusion, and agent-based modelling applied to electrified freight transport concepts and new collaborative, digitised logistics systems. It responds to the emerging needs of transport researchers, planners, and policy makers and it will generate knowledge for the implementation of innovative transport policies. STORM will provide advanced methods and tools to enable new opportunities and business models for the sector through targeted information and knowledge sharing with structured support and collaboration in research, policy analysis, and transport planning, to fulfil the ultimate goal of facilitating the sustainable transformation for the business and future public policies.
Department:
Year:
2021 - 2023
Program:
Horizon 2020

Principal Investigator:
doc. Ing. Martin Leso, Ph.D.
Co-Investigators:
doc. Ing. Petr Bouchner, Ph.D.; Ing. Bc. Dušan Kamenický, Ph.D.; Ing. Bc. Zdeněk Michl; doc. Ing. Stanislav Novotný, Ph.D.
Annotation:
The project is focused on application research dealing with the introduction of systematic training of train drivers in the Czech Republic with the support of rail vehicle simulators. Their use in training and demonstration of qualification is a very important and effective tool, which has been used in many European countries for a long time and is also recommended by the European Directive 2007/59 / EC of the European Parliament and of the Council. The use of simulators in the process of driver training should serve not only to increase safety in railway operations, but also to facilitate the training of new drivers or the retraining of existing ones to new technologies and procedures (in particular ERTMS / ETCS). The main subject of the project is the creation of a methodology enabling the introduction of systematic training and verification of the qualifications of drivers in the Czech Republic. The outputs of this project will be directly applicable to the legislative process of obtaining and verifying the professional competence of drivers and will serve as the basic specifications for the systematic introduction of this process in the Czech Republic.
Department:
Year:
2020 - 2022
Program:
Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Principal Investigator:
Ing. Bc. Zdeněk Michl
Co-Investigators:
doc. Ing. Vít Janoš, Ph.D.; Ing. Vojtěch Kužel; Ing. Dominik Mazel; Ing. Rudolf Vávra, Ph.D.
Annotation:
Development and stabilization of the railway infrastructure data base for academic and commercial purposes within the competence of CTU FD K617 including possibilities of using new sources of machine-readable data and methodology of their use for specific use casec - railway timetabling and microsimulation of railway traffic.
Department:
Year:
2019 - 2020
Program:
Studentská grantová soutěž ČVUT - SGS19/122/OHK2/2T/16

Principal Investigator:
Ing. Martin Sojka
Co-Investigators:
Ing. Karel Baudyš, Ph.D.; doc. Ing. Vít Janoš, Ph.D.; Ing. Bc. Zdeněk Michl
Annotation:
Integrated Periodic Timetable (IPT) occurs increasingly in European railway passenger transport (including Czech Republic), which in cooperation with freigt transport generates in specific places and times so-called infrastructure bottlenecks. Interaction of passenger and freight traffic (mainly in future outlook) causes conflicts between the requirements of railway infrastructure capacity and features of infrastructure, especially taking account of irregularities (delays). The result is either a lower quality (insufficient stability) in operation concept (including freight traffic) or it's absolutely impossible to create such including delays operation concept. The aim of this project is to verify the procedure for implementation and check the real railway capacity of IPT-nodes with the inclusion of passenger and freight transport, including the effects of irregularities in operation. Also the possible infrastructure modifications as a result of coordination between transport irregula
Department:
Year:
2011 - 2011
Program:
Studentská grantová soutěž ČVUT - SGS11/075/OHK2/1T/16