People
doc. Ing. Tomáš Tichý, Ph.D., MBA

doc. Ing. Martin Leso, Ph.D.; Ing. Pavel Mašinda; doc. Ing. Tomáš Tichý, Ph.D., MBA

The proposed project focuses on the complex issues of rail transport automation, particularly transitioning from the current automation level GoA 2 to the fully autonomous GoA 4. The project will thoroughly analyse the processes and safety requirements essential for this transition while assessing the operational efficiency and feasibility of full autonomy. The core objectives include evaluating the technical and safety aspects of fully autonomous rail systems, determining the suitability of eliminating human operators, and collecting data for optimizing Automatic Train Operation (ATO) systems. Special attention will be given to decision-making modules within on-board ATO systems that utilize data from ETCS (or other ATP - automatic train protection) and ATO trackside components. These modules are not being developed but leveraged as tools to collect and analyse critical data about the behaviour of autonomous systems. The project builds on the current research in autonomous and intelligent transportation systems, reflecting global efforts to modernize railway infrastructure, increase capacity, reduce human error, and improve environmental impacts. The outcomes will be valuable for academia, regulatory standard development, and practical implementation in autonomous railway systems. Moreover, the project will support education and training in traffic management and automation at the Faculty of Transportation Sciences.

2025 - 2026

Studentská grantová soutěž ČVUT - SGS25/104/OHK2/2T/16

Ing. Lukáš Kacar; doc. Ing. Tomáš Tichý, Ph.D., MBA

The proposed project deals with the current issue of traffic detectors used in cities with a focus on their appropriate selection and the use of traffic data measured by these detectors. Cities seek to improve traffic flow and the passability of individual intersections. For this purpose, data from traffic detectors and other detection methods such as FCD or C-ITS are used. These are used to measure traffic flow, environmental load, as well as other necessary characteristics to apply new benefits for sustainable urban mobility. They are also used in intersection areas for their dynamic control. Nowadays, especially in intersections, induction loops are most commonly used, which often do not work and are expensive to repair or the data they provide is not further used. It is an effort to make more efficient use of this existing data while installing sustainable detectors that will provide more traffic data that can then be used by more entities. The aim of the project is to optimise the appropriate deployment of detectors in public space for future predictions of individual and public transport, pedestrian, cyclist, supply and potential autonomous mobility behaviour, including the trajectories of all road users, using new AI approaches. Important elements of AI are not only language models based on deep neural networks such as YOLOv8, which have been successfully applied in video image analysis or thermal imaging, but also other approaches such as multi-agent systems, fuzzy logic, etc. All these innovative approaches have a major impact on future traffic optimization as well as the use of alternative detections such as data from mobile operators, FCD, C-ITS and other innovative approaches within area management. The effort will be to model and optimize the proposed solution, with subsequent evaluation of specific designs and usecases in the proposed area that will be usable for more accurate management and information in the area, with links to other telematics sys

2025 - 2026

Studentská grantová soutěž ČVUT - SGS25/105/OHK2/2T/16

Ing. Jiří Brož, MSc., Ph.D.; Ing. Jiří Růžička, Ph.D.

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.

2025 - 2027

Program na podporu aplikovaného výzkumu a inovací SIGMA

Ing. Kristýna Navrátilová; doc. Ing. Tomáš Tichý, Ph.D., MBA

The proposed project deals with the current issue of road traffic management using telematics systems with a focus on data sources and solving the reliability of input data. The effort of the majority of mainly larger cities is to make the organization and management of transport on their territory more efficient, especially in relation to road transport. The goal of introducing intelligent transport systems in the field of traffic management is to reduce the traffic load on the street network, increase the throughput of roads, reduce the negative environmental effects of traffic and economic demands. Ensuring high-quality and reliable traffic engineering data is a necessary prerequisite for enabling the use of the full potential of traffic management systems. This data provides sufficiently accurate information about the real state of traffic that can be used for predictions, traffic models and adequate responses of control system algorithms, including modern concepts such as the use of machine learning and AI. Ensuring reliable data and its subsequent use within AI is an important trend within topics such as big data, Smart approaches, diagnostics and especially advanced management algorithms based on agent systems, etc. The goal of the project is the design of a robust algorithm for high-quality preparation of traffic engineering data, with the aim of achieving the required reliability of data at the input to traffic management systems. The algorithm will be based on the specification of data reliability values, which is necessary for the quality function of specific telematics applications. In order to achieve greater detail, the algorithm will be focused on data sources of LPR data (license plate recognition data), as this is widespread data with a high potential for use in traffic management applications. The results will be evaluated, mainly in terms of possible benefits in real use and in terms of transferability to other data sources. The project follows on

2024 - 2025

Studentská grantová soutěž ČVUT - SGS24/106/OHK2/2T/16

doc. Ing. Tomáš Tichý, Ph.D., MBA; Ing. Miroslav Vaniš, Ph.D.; Ing. Martin Zajíček

The main goal of the project is to create tools for detecting security incidents and procedures to ensure a defined level of cyber security on critical transport infrastructure with a focus on modern SCADA systems of tunnel technologies. Particular emphasis will be placed on the development of algorithms for detecting cyber incidents based on vulnerabilities in tunnel technologies as selected parts of critical transport infrastructure, reflecting in particular the trajectories of potential attacks and a tool to support emergency management, including decision support. The acquired knowledge will be reflected in developed outputs that will include safety procedures designed for critical infrastructure, tunnnel system and ITS system to ensure business continuity.

2023 - 2025

Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Ing. Jiří Brož, MSc., Ph.D.

Cílem projektu je analýza, návrh a testování.

2023 - 2025

Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Ing. Jiří Brož, MSc., Ph.D.

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.

2023 - 2026

Horizon Europe - SEP-210876302

Cílem projektu je výskum a vývoj prototypu hardwaru a modulární software nadstavby.

2023 - 2025

Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

doc. Ing. Tomáš Tichý, Ph.D., MBA; Ing. Petr Vopalecký

The project will deal with the collection of traffic data and the characteristics of the traffic flow with regard to the issue of traffic management in the urban area in the event of traffic congestion. The main goal is to analyze the traffic flow in places controlled by traffic lights. The monitored situation will be the area of full traffic flow saturation, which usually correlates with the peak traffic of the day. The current methodology and proposed solutions are valid and functional in cases where the degree of saturation of the traffic flow is very low or the road network is homogeneous in terms of capacity of individual elements. However, in real operation and parameters of construction and urban design in cities, these conditions are not met. The results will be used to revise the currently used traffic flow parameters with a wide range of further uses, such as coordination design, calibration of microsimulation models, inputs to capacity calculations, etc. The project is a necessary part of the proposer's dissertation, which deals with the management of the congested transport network of the city.

2022 - 2022

Studentská grantová soutěž ČVUT - SGS22/078/OHK2/1T/16

A course with a defined focus on urban engineering and traffic telematics called "Traffic telematics and urban engineering course will be created in NPO - SC A4 Courses aimed at expanding skills (upskilling) or reskilling (reskilling) project. The target group of the course consists of professionals in transport, transport telematics and urban engineering. The course offers the expansion of expertise and skills (upskilling) in Transport Telematics (intelligent transport systems) and in Urban Engineering focused on construction and transport. Participants will receive a certificate.

2022 - 2024

Rozvojové programy MŠMT - NPO_ČVUT_MSMT-16597/2022

doc. Ing. Tomáš Tichý, Ph.D., MBA; Ing. Miroslav Vaniš, Ph.D.; Ing. Martin Šrotýř, Ph.D.

Cílem projektu tak bude pilotně otestovat a definovat možnosti využití HD map pro potřeby autonomní mobility. Během projektu bude vytvořen testovací úsek, který bude vybaven dodatečnou senzorikou, která bude umožňovat v reálném čase detekovat překážky na vozovce a v jejím okolí. Na tomto úseku se budou zároveň pohybovat testovací vozidla, která budou vybavena další senzorikou pro detekci mimořádností na vozovce. Detekované informace budou přenášeny na server, kde se budou veškerá data agregovat a budou použita také k doplnění stávajícího 3D modelu města Plzně. Vznikne tak dynamický digitální model (tzv. digitální dvojče) pilotního úseku. Na základě provedených testů na závěr vznikne metodika, která bude jasně definovat požadavky na dynamické HD mapy pro potřeby autonomního mobility.

2022 - 2024

Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

Ing. Eva Hajčiarová; doc. Ing. Tomáš Tichý, Ph.D., MBA

The proposed project deals with the current issue of parking in the urban street network with a focus on appropriate regulation of static traffic. Most cities are seeking to implement smart parking systems to make more efficient use of existing parking spaces, optimize turnover rates, reduce the number of vehicles whose drivers search for a vacant parking space, introduce more effective enforcement of payment discipline, and collect and post-process traffic data. This data provides an important basis for traffic planning and static traffic control. Smart on-street parking in the case of tariff regulation means favouring parking areas where we want to increase the concentration of vehicles - i.e. most often on the periphery, and introducing surveillance of surrounding streets and areas. Drivers are thus incentivised to park their vehicles on the periphery of the city and use an alternative mode of transport to the city centre. The aim of the project is to analyse the realistic implementation of dynamic tariff regulation of parking in the area of the Capital City of Prague suitable for optimizing the distribution of vehicles in the street network, identifying technological and legislative options and visualizing the simulation for a selected part of the city. The results will be evaluated especially in terms of deployment of dynamic regulation in real operation as a tool for optimization of vehicle movement and parking in the urban street network. A prerequisite for a successful design is at the same time a survey of user needs, as the human factor is a key factor determining the functionality of the solution. Tariff regulation must be set in such a way that it provides sufficient incentive, but at the same time the rules are respected and parking fees are paid. According to modern parking concepts, the main objective of introducing intelligent systems is to make more efficient use of existing parking spaces, without the need to build new ones. At the same time as t

2022 - 2022

Studentská grantová soutěž ČVUT - SGS22/079/OHK2/1T/16

doc. Ing. Tomáš Tichý, Ph.D., MBA

The goal of the need is to determine the conditions and implementation procedure for ensuring the usability of data from BIM (Building Information Modelling, or information modeling of buildings) for the development of the National Infrastructure for Spatial Information (NIPI), including quantifying the related financial needs. Use experience from abroad and from home and apply it to the development of BIM and the use of connected data in various areas. Activities relate to research and development, advancing standardization or implementation at national and international levels, including related legislative anchoring. The intersection of BIM and NIPI, from the point of view of the goal of the need, is directly conditioned by key initiatives (government strategy Digital Czechia and Acts No. 12/2020 Coll., 47/2020 Coll. and 183/2006 Coll., European strategy for data communicated by the European Commission on 19. 2 . 2020). Finding the content and procedures for modeling the built environment is a basic prerequisite for the application of the requirement to link BIM and NIPI. The concept of the implementation of the BIM method in the Czech Republic (BIM Concept) imposes the obligation to use building information modeling for above-limit public contracts for construction works. The emerging data can be used as one of the sources for modeling the built environment and creating a so-called digital twin of the built environment of the Czech Republic. A number of tasks can be formulated to use the model of the built environment. Solving the need in the form of applied research is therefore, given the current state of knowledge and the dynamic development of related areas, a necessary condition for the subsequent implementation of the aforementioned task imposed on the Ministry of Internal Affairs by the Government of the Czech Republic.

2022 - 2024

Program veřejných zakázek v aplikovaném výzkumu a inovacích pro potřeby státní správy BETA2

Ing. Jiří Brož, MSc., Ph.D.; doc. Ing. Zdeněk Lokaj, Ph.D., LL.M.; doc. Ing. Tomáš Tichý, Ph.D., MBA

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.

2022 - 2023

Studentská grantová soutěž ČVUT - SGS22/123/OHK2/2T/16

Cílem projektu je snížení negativních ekonomických a environmentálních dopadů současného vývoje a naplnění požadavků na udržitelný rozvoj vystavěného prostředí sídel.

2022 - 2024

Program na podporu aplikovaného výzkumu, experimentálního vývoje a inovací v oblasti dopravy - DOPRAVA 2020+

doc. Ing. Zdeněk Lokaj, Ph.D., LL.M.; doc. Ing. Tomáš Tichý, Ph.D., MBA; Ing. Tomáš Šmerda

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.

2022 - 2023

Studentská grantová soutěž ČVUT - SGS22/121/OHK2/2T/16

Cílem žádosti je získat finanční prostředky na rozvoj předmětu „Bezpečnost a spolehlivost ITS systémů“, který je nově vyučován dle nové akreditace, jež obsahuje nejen nová témata ve výuce, ale zahrnuje i cvičení a ukázky pro studenty a mělo by to být zohledněno i v distanční výuce. Projekt má jasně stanovený postu definovaný v bodech níže pro zajištění kvalitního rozvaděče nebo panelu pro rozmístění HW PLC a dalších elektronických prvků taka, aby byla zajištěna bezpečnost uživatelů.

2022 - 2022

The "PPSR" internal calls

doc. Ing. Petr Bouchner, Ph.D.; doc. Ing. Tomáš Horák, Ph.D.; Ing. Bc. Dagmar Kočárková, Ph.D.; Ing. Bc. Petr Kumpošt, Ph.D.; doc. Ing. Kristýna Neubergová, Ph.D.; Ing. Petra Skolilová, Ph.D.; prof. Dr. Ing. Miroslav Svítek, dr. h. c.; doc. Ing. Tomáš Tichý, Ph.D., MBA

This project is aimed at creating synergies among experts of different background in the field of climate-neutral and smart cities to sha that will contribute in their formation towards proactive citizenship in a very dynamic and challenging urban environment. This project is planned to be implemented by the Smart Cities Research Network and the Department of Innovation of the University of Stavanger and by the Faculty of Transportation Sciences of the Czech Technical University in Prague. Together with representatives of other faculties and external partners they wish to encourage and foster interdisciplinarity and co-creation of innovative ideas through challenge-based learning in an context of sustainable, climate-resilient, attractive and productive cities. They also wish to promote mission-oriented goals in research and innovation to be pursued through European grant schemes such as H2020 and EEA Grants. A series of three peer learning activities in the format of workshops is planned to be organized by both universities during two years being two of them in the Czech Republic and one in Norway. The capacity to work within a mission-based approach to research and innovation framework will be a key competence to enhance students’ future careers whether they will be employed in the academic sector, in the public sector or in the private industry.in academic, the public sector or private industry. The peer learning activities will be designed and delivered in a way to significantly improve the graduates’ profiles and their value on the job market.

2021 - 2023

Projekty podpořené ze zahraničí (pracovní kód k dodatečnému upřesnění)

Ing. Eva Hajčiarová; Ing. Richard Rek; doc. Ing. Tomáš Tichý, Ph.D., MBA

The proposed project deals with the current issue of parking in the street network of cities with a focus on appropriate regulation of static traffic. Most cities are striving to introduce smart parking systems to streamline the use of existing parking areas, optimize turnover, reduce the number of vehicles whose drivers are looking for free parking, introduce more efficient supervision of payment discipline, and collect traffic data with subsequent processing. These data represent an important basis for traffic planning and regulation of static traffic. Smart street parking in the case of tariff regulation means favoring the parking areas on which we want to increase the concentration of vehicles - most often on the periphery, and introducing supervision of the surrounding streets and areas. Drivers are thus motivated to park vehicles on the outskirts of the city and use an alternative means of transport to the city center. The aim of the project is to design dynamic regulation of parking in the street space, to determine a suitable algorithm for directing static traffic and to model implementation in the selected area of parking in the street space. The results will be evaluated, especially in terms of possible benefits for cities, and the possibilities of real use of the proposed tool for optimizing the movement and stabling of vehicles in the street network of cities will be considered. A prerequisite for a successful design is also the determination of suitable parameters for the algorithm based on available data from own surveys and other sources. According to modern parking concepts, the main objective of introducing intelligent systems is to make the use of existing parking areas more efficient, without the need to build new areas. Simultaneously with the introduction of modern technologies, it is necessary to optimize organizational and control processes, monitoring the development of parking habits over time is very important for getting feedback and fut

2021 - 2021

Studentská grantová soutěž ČVUT - SGS21/079/OHK2/1T/16

doc. Ing. Tomáš Horák, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.; doc. Ing. Tomáš Tichý, Ph.D., MBA

This initiative aims at developing and improving research cooperation between the Faculty of Science and Technology of the University of Stavanger (FST UoS) and the Faculty of Transportation Sciences of the Czech Technical University (FTS CTU) in Prague. The main focus of the bilateral cooperation will be the exchange and broadening of the knowledge about planning in the context of smart, sustainable and resilient cities. A particular emphasis will be given to climate change mitigation and adaptation policies, strategies (including risk management ones), technologies and measures in the context of transport infrastructure and operations at the local and regional level in both countries. In a highly dynamic urban environment faced by increasing effects of climate change the role of universities in the formation of citizens of the future with a holistic approach to urban problems become even more challenging. Therefore it becomes essential for European universities to gradually prepare their academic staff and students towards a challenge-based approach to learning and towards a mission-oriented approach to research and innovation. Both universities have demonstrated through previous communication that they give a high relevance to address this innovative approach in education and research. A mobility of experts from FTS CTU is planned to be undertaken to UoS and a mobility of experts from FST UoS is planned to be undertaken to CTU with a workshop to be held in Prague.

2020 - 2022

Norské fondy

doc. Ing. Tomáš Horák, Ph.D.; doc. Ing. Václav Jirovský, CSc.; doc. Ing. Kristýna Neubergová, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.; doc. Ing. Tomáš Tichý, Ph.D., MBA

This project is aimed at creating educational content and organizing training activities that jointly contribute to the development of competences among postgraduate students in the field of sustainable and smart cities. We expect that the skills and knowledge to be provided to students through the planned blended learning mobility scheme (physical academic mobility combined with virtual mobility) will help in their transformation into active citizens who will be well prepared to deal with the challenges of next decades in the urban environment in the environmental, social and economic context. The management of the consortium will also encourage a synergy among the assigned lecturers so that they get the inspiration from each other to address in their respective subjects some increasingly important issues such as climate change mitigation and adaptation, energy efficiency, pollution reduction, waste minimization, among others. Other important aspects of a strategic approach towards sustainable and smart cities will be fostered through the educational content to be developed and provided to postgraduate students. These aspects include public safety, healthcare, investment, jobs, innovation, among others. The consortium will pursue the collaboration of enterprises from the private and public sector to ensure that the content to be created and provided to students will correspond to the relevant learning needs of the labour market and the wider society. The consortium will also encourage a trans-disciplinary approach with innovative teaching methods for the physical academic mobility to create student engagement and active learning as well as to develop critical thinking skills. Examples of innovastive teaching methods to be adopted are: cross over teaching, teaching through smart boards, teaching through flipped classrooms, teaching through collaboration (learn, study and work in groups) and research-based learning. The assigned lecturers will have the freedom of

2020 - 2023

Erasmus+ - KA203-2BDCB6E0

doc. Ing. Tomáš Tichý, Ph.D., MBA

The project deals with the proposal of a methodology for identification and monitoring of traffic operators´ fatigue level, specifically of air traffic controllers. Many scientific methods of fatigue detection are not applicable in the air traffic control environment due to significant disruption of the normal air traffic controllers´ comfort. Research focuses therefore on a method of voice analysis that does not interfere with normal operation but has not yet been sufficiently scientifically verified. The proposed project uses a scientifically validated EEG method for validating the voice analysis method for designing a voice analysis methodology for the purposes of identifying and measuring the current fatigue level of operators in traffic, specifically in the air traffic management environment.

2019 - 2019

Studentská grantová soutěž ČVUT - SGS19/081/OHK2/1T/16

Ing. Kristýna Navrátilová; Bc. Vojtěch Smrž; doc. Ing. Tomáš Tichý, Ph.D., MBA; Ing. Lukáš Čacký

The proposed project deals with the current issue of traffic control in the urban area in an exceptional state, which can be triggered in the event of traffic congestion, the occurrence of extraordinary events, or the occurrence of other unexpected events in the area. If this situation arises in the city, it is an attempt to propose meaningful solutions for traffic control to minimize the impact of social loss. The main needs are the timely identification and classification of the cause of the state of emergency, the finding and rapid implementation of a suitable alternative management solution and the rapid ability to restore traffic in the area of congestion. The aim of the project is to propose the integration of crisis management into the transport management model of selected urban areas and model implementation of the design on a laboratory scale on the example of part of the city of Uherské Hradiště. A prerequisite for a successful design is also the design of an expert knowledge base created on the basis of available traffic and engineering data on accidents, traffic intensities, driving times, or parking in the area. Historical data is available for model example from traffic surveys already carried out by the authoring team in the city, supplemented by other data sources (JDVM PCR, RODOS, traffic detectors). The implementation of crisis scenarios for the real-world area is very limited by current legislation and technical conditions. That is why the project is also related to the elaboration of a study on the possibilities of implementation of crisis management in Czech conditions, including its own proposal to incorporate changes into the existing legislation. The project significantly supports the dissertation work of the petitioner, which deals with similar issues. At the same time, the project significantly supports the final work of Master's students, who are also involved in the field of road transport management and modeling. The topic of traffi

2019 - 2019

Studentská grantová soutěž ČVUT - SGS19/082/OHK3/1T/16

Cílem projektu je vytvoření softwarového nástroje pro analýzu poruch, podporu údržby a prediktivní diagnostiku technologických systémů a zařízení založený na reálných datech poskytovaných řídicím systémem s vazbou na vstupy z provedených servisních úkonů technologických zařízení. Software tvoří nadstavbu nad řídicím systémem a poskytuje informace pro podporu rozhodování provozovatele či správce tunelu. Implementace tohoto systému umožní optimalizovat náklady související se servisem a údržbou, které patří mezi nejvýznamnější složku celkových provozních nákladů. Preventivní údržbou či výměnou dílčích částí zařízení je možné prodloužit životnost systémů a omezují se tím nenadále vzniklé poruchy, které mohou vést k zastavení provozu v tunelu či ohrožení jeho uživatelů.

2019 - 2021

Programme of applied research and experimental development EPSILON

During the project universal controlling system simulator for tunnel maintenance training will be created. One of the project´s aims is to develop and verify an apparature, able to shorten the human reaction time during the evacuation. This will be achieved by a new technological apparature proposal. The new optimized structure of safe tunnel system methodology will be projected. This will simplify the operator’s decision about keeping the tunnel safe. A tunnel laboratory is going to make the safe audits and risk analysis for CZ.

2011 - 2013

Programme of applied research and experimental development ALFA

doc. Ing. Tomáš Tichý, Ph.D., MBA; prof. RNDr. Miroslav Vlček, DrSc.

Při zkoumání příčin leteckých nehod a incidentů v letovém provozu uvádí často Ústav pro odborně technické zjišťování příčin leteckých nehod jako příčinu "chybu pilota". Tento pojem však podle našeho názoru nepojmenovává skutečnost dostatečně přesně. My se chceme pustit do stanovení metodiky posuzování kvality výkonu pilotních dovedností na základě objektivizovaných kritérií. Jedním z hlavních našich úkolů bude najít signifikantní parametry (tep, puls, pohyby víček očí apod.) fyziologických funkcí s duševními pochody v mozku pilota za letu. Tyto koreláty budeme následně využívat pro následné vyhodnocení aktuální úrovně pozornosti a výkonnosti pilota během letu včetně stanovení kvalitativní závislosti průběhu únavy na čase pro jednotlivé testované osoby. Z analýzy pohybu řídící páky a pedálů, elektroencefalografických signálů na povrchu hlavy pilota a případně pohybu očních bulv se pokusíme stanovit aktuální reakční čas-nejdříve v laboratorních, poté v reálných podmínkách.

2006 - 2006

IGS ČVUT - CTU0612416