People
prof. Ing. Ondřej Přibyl, Ph.D.

Ing. arch. Jan Bittner; Ing. arch. David Pfann; prof. Ing. Ondřej Přibyl, Ph.D.; doc. Ing. arch. Veronika Šindlerová, Ph.D.

Problematika dopravy v kontextu plánování měst je dlouhodobě rezonujícím tématem v architektonicko-urbanistickém diskurzu. Přestože je toto téma obecně považováno za komplexní a multidisciplinární, v českém akademickém prostředí je jeho zkoumání rozděleno do oddělených disciplín, které spolu komunikují jen minimálně (vedle plánování měst zde existuje dopravní inženýrství a telematika, logistika, dopravní sociologie, dopravní ekonomika apod.). Tyto disciplíny jsou striktně vymezeny a vzájemný přenos poznání je minimální. Druhým problémem je skutečnost, že za poslední dekádu prošly mnohé dopravně-technologické disciplíny značným rozvojem, který přináší nové výzvy pro zkoumání a plánování měst. I tato skutečnost je v českém architektonicko-urbanistickém diskurzu řešena minimálně. _ Konference People - City - Transport je unikátní PhD konferencí nejen v rámci ČVUT, ale celé České republiky. Konference si klade za cíl posílit mezioborový přístup ke zkoumání fenoménu městské dopravy včetně behaviorálních a sociologických aspektů mobility a přispět k budování kompetencí a kapacit pro řešení aktuálních problémů měst. Konference je organizována doktorandy a akademickými pracovníky Fakulty architektury a Fakulty dopravní ČVUT. Organizaci zajišťuje Ústav prostorového plánování Fakulty architektury ve spolupráci s Katedrou aplikované matematiky Fakulty dopravní ČVUT. Konference poskytne příležitost pro spolupráci studentů Fakulty architektury a Fakulty dopravní ČVUT, a naváže na spolupráci ve společném doktorském studijním programu Smart Cities. Konference je otevřena odborníkům z dalších významných akademických pracovišť, zejména Katedry sociální geografie a regionálního rozvoje Přírodovědecké fakulty University Karlovy, Katedry plánování krajiny a sídel České zemědělské univerzity a dalších českých i zahraničních akademických pracovišť. Výstupem konference bude archivovaný záznam a sborník, obojí veřejně přístupné na webu konference. _ Akce "People - City - Transport 2025, Ph

Department of Spatial Planning

2025 - 2025

Studentská vědecká konference ČVUT - SVK 54/25/F5

MSc. Halil Cevik; Ing. Sergei Kozhevnikov; prof. Dr. Ing. Miroslav Svítek, dr. h. c.

The project aims to develop a concept of the Intelligent Transport System (ITS) based on the agent approach to address the traffic management process and transport services provision. The digital ITS opens up opportunities for a s trategic move toward Society 5.0 and creates a qualitatively new model in transport management. This approach allows a profound digital transformation of the Smart City and introduces the most advanced principles of management based on artificial intellige nce ( AI implementation.

2024 - 2024

Joint research projects between CTU and TAIWAN TECH

Ing. Bc. Petr Kumpošt, Ph.D.; doc. Ing. Michal Matowicki, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.; Ing. Dan Ťok

The project aims at future effective reduction of individual transport, which often emerges where it is inefficient for PT companies to create PT lines. This can be realized through the deployment of automated minibuses (AM) in the form of MoD. The need for their efficient management and supervision is obvious then, thus semi-automated control center to ensure efficient and safe operation of AMs is the main goal of the project. Such center will focus on dynamic routing of AM lines, identification of incidents in the vehicle and methods for teleoperation, which are specifically necessary for the safe and reliable operation of AM both from the point of view of passengers and from the point of view of operation in the road traffic system.

Department of Security Technologies and Engineering

2023 - 2025

TREND

Ing. André Maia Pereira, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.

Most analyzes in the field of transportation planning require knowledge of the origin and destination of a trip, often aggregated into flows and described by an Origin-Destination (OD) matrix. Considering that it is substantial to have proper OD matrices when simulating traffic, many approaches have been proposed to solve the OD estimation problem. Direct measurements/interviews or surveys are difficult and often costly, hence aggregate methods that use traffic counts and other available information are used to obtain reasonable OD estimates. The purpose of this project is to describe and estimate OD matrices for vehicles, bicycles, and pedestrians using traffic counts, travel times, and movements within intersections. First, we will conduct a comprehensive analysis of current approaches. Then, we will identify the road sections (links) to be included in the network and define those as origin and destination. For vehicles and bicycles, the solution should generate sets of feasible flows and routes between origins and destinations with given turning rates and traffic counts constraints, and iteratively update them until a stopping criterion, e.g., fitness to real travel times from Google Maps API. For pedestrians, OD flows should be based on the shortest routes, constrained by the movements within intersections, and influenced by the type and size of buildings along the route (that can be collected from OpenStreetMaps).

2023 - 2024

Studentská grantová soutěž ČVUT - SGS23/129/OHK2/2T/16

prof. Ing. Ondřej Přibyl, Ph.D.

Postdok na ústavu K611

2022 - 2024

CTU Global Postdoc Fellowship

doc. Ing. Tomáš Horák, Ph.D.; RNDr. Magdalena Hykšová, Ph.D.

The mobility ecosystem is rapidly evolving, whereby we see the rise of new stakeholders and services. Examples of these are the presene of connected and automated vehicles, a large group of organisations that rally to establish various forms of share mobility, with the pinnacle being all of these incorporated into a large Maas ecosystem. As these new forms of mobility offerings start to appear within cities, so do the new ways in which data are being generated, collected, and stored. Analysing this (Big) data with suitable (artificial intelligence) techniques becomes more paramount, as it leads to insights in the performance of certain mobility solutions, and is able to highlight (mobility) needs of citizens in a broader context, in addition to a rise in new risks and various socio-economic impacts.

2021 - 2023

Horizon 2020

Ing. Michal Drábek, Ph.D.; Ing. Bc. Zdeněk Michl; prof. Ing. Ondřej Přibyl, Ph.D.

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.

2021 - 2023

Horizon 2020

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

Ing. Bohumil Kovář, Ph.D.; Ing. Jana Kuklová, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.; Dr. Ing. Jan Přikryl

The goal of the VEXA project is the development of an expert system which will be able to substitute reaction and decision-making abilities of train drivers to predefined inputs. The inputs cover different sources, among others sensors monitoring obstacles or fire, or configuration and actual status of the environment. These inputs will be compared to the legislative and operational rules and based on that will provide output to other train control systems. The algorithms will also cover the psychosomatic characteristics of the train drivers. The solution will be based on a detailed system analysis, data collection, definition of interfaces, system architecture and mathematical analysis to assess its impact and operation parameters.

2020 - 2022

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

Ing. Bc. Petr Kumpošt, Ph.D.; Ing. Jaroslav Pinkas; prof. Ing. Ondřej Přibyl, Ph.D.

Subject of this project will be to carry our analysis of attractiveness of newly emerged areas for pedestrians. Idea for this project was initiated by growing housing development in Prague. Attractiveness will be assessed on the basis of the share of pedestrian traffic in the total traffic volumes of the locality. The quality of the research will be supported by the fact that areas for this research will be selected from the locations built by one of the largest housing developers in the Czech Republic, where the researcher has access to a wide range of information about the apartment houses built here. The advantage of these places is due to their connection to the surrounding street network (1-2 access roads) the possibility of finding out all the traffic volumes produced by these localities. Also with the added value of the internal knowledge of the dispositions of all residential buildings here. Space, where individuals move, is given to us with a set of potentials for how will we use it. This is the reason why the relationship between space and how people will use it can be analyzed and is to some extent predictable. This relationship has been proven in several publications (e.g. Hillier B. (2007): Space is the machine: a configurational theory of architecture). For the purposes of the project, a model of attractiveness of individual segments of the Prague street network will be created using the space syntax method. Space syntax is a set of techniques for analyzing the relationship between spatial layout and human movement patterns. When choosing the locations, we will also take into account the presence of a wide range of parameters affecting attractiveness (such as availability of public transport, services, public amenities, job opportunities, etc.). In places where the selected residential areas are connected to the street network of the city, the volumes of vehicle and pedestrian traffic will be measured in order to determine the modal split of the give

2020 - 2021

Studentská grantová soutěž ČVUT - SGS20/135/OHK2/2T/16

Ing. Jana Kuklová, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.

In days of increasing popularization of intelligent transport systems and Smart City solutions, traffic management systems become increasingly common. One of their applications are traffic information systems, which inform drivers about traffic conditions ahead by means of variable message signs. The goal of the proposed project is understanding of drivers subjective evaluation of traffic conditions. With help of experiment, we will record driving of equipped vehicle in various conditions, and later construct a questionnaire that will ask various drivers to evaluate conditions visible on each short record. Such evaluations will let us a insight view to subjective traffic conditions perception by various drivers, and analysis of traffic stream parameters like speed and density to determine which of them influence drivers evaluation.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/120/OHK2/2T/16

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

Předmětem projektu je komerční implmenetace globálního modelu pro kvantitativní a kvalitativní hodnocení dopravy v hl. m. Praze. Tento komplexní model umožní nejenom ohodnocování kvality dopravy nad sítí detektorů v reálném čase, ale i monitorování dlouhodobějších trendů změn kvality. V současné době podobný model, který by systematicky mapoval a ohodnocoval změny v kvalitě dopravy nad sítí strategických detektorů, které byly povětšině instalovány v rámci Operačních programů, neexistuje.

2018 - 2020

Operational Program Prague - Pole of Growth Czech Republic - CZ.07.1.02/0.0/0.0/16_040/0000370

prof. Ing. Ondřej Přibyl, Ph.D.

Smart City - Smart Region - Smart Community představuje komplexní pohled na vytváření kvalitní infrastruktury pro život člověka a poskytování kvalitních veřejných služeb s návazností na společenské výzvy. Projekt podporuje spolupráci výzk.organizací, soukromého a veřejného sektoru, posiluje specializaci oborového zaměření UJEP, interdisciplinární spolupráci, rozvoj výzk. týmů témat SMART. Projekt se skládá ze čtyř výzkumných záměrů. Hlavní oborová osa projektu je veřejná správa, admin. a řízení.

2018 - 2022

Operational Programme – Research, Development and Education – Structural Funds EU - CZ.02.1.01/0.0/0.0/17_048/0007435

prof. Ing. Ondřej Přibyl, Ph.D.

In the past 35 years there has been an increase in the number of inhabitants on this planet about 2.8 billion. It is predicted that the population will reach 10 billion people in 2055. Worldwide urbanization was only 30%in 1950. In 2008 there was a milestone of 50% and will reach 70% in 2050. So the city will continue to increase and it is essential to deliver them sustainable model that will provide a quality of life with the contribution of modern technology - Smart City. For quality-based approaches to the concept of Smart Cities is necessary to develop models from which will be able to predict the behavior of individual entities. Within the SGS (Development of new models of Smart City using Multi-Agent Systems), smart city models have been developed and results have been published at conferences, reviewed periodicals and impact journals. The SMArt City Evaluation Framework (SMACEF) has also been published to allow cities to model their current state and create the future city alternatives. It is then possible to create different scenarios and select the best possible solution based on key performance indicators. The aim of this project is to continue in the already achieved results and further elaborate the methodology and models.

2018 - 2018

Studentská grantová soutěž ČVUT - SGS18/090/OHK3/1T/16

prof. Ing. Ondřej Přibyl, Ph.D.

In recent days in the US and the EU live more than three quarters of the population in urban areas and scientific studies predict that the rate of urbanization will continue to increase in upcoming years. At the same time the GDP of these countries grows as well and it strongly correlates with an increased volumes of goods and people. In the US, these volumes have increased over the last 30 years by almost 80%, which brings consequences in form of negative externalities (congestion, air pollution etc.). It is therefore necessary to develop the concept of sustainable urban development. This is the main objective for the Smart Cities concept. The aim of this project is to create a model of crowdsourced urban logistics. It means that the transport of package announced as a open call via Internet applications and carried out by regular commuters. The model will be created in AnyLogic multimethod software or similar, which allows to faithfully describe and analyze the behavior of individual subjects (drivers, customers, packages etc.). Emphasis will be placed on introduction of criteria which specify the cases when the use of crowdsourced logistics is in accordance with the philosophy of Smart Cities. Smart Cities and crowdsourcing are relatively new phenomena, and therefore there is a limited number of scientific resources available.

2017 - 2018

Studentská grantová soutěž ČVUT - SGS17/146/OHK2/2T/16

prof. Ing. Ondřej Přibyl, Ph.D.

In the past 35 years there has been an increase in the number of inhabitants on this planet about 2.8 billion. It is predicted that the population will reach 10 billion people in 2055. Worldwide urbanization was only 30 % in 1950. In 2008 there was a milestone of 50 % and will reach 70 % in 2050. So the city will continue to increase and it is essential to deliver them sustainable model that will provide a quality of life with the contribution of modern technology - Smart City. For quality-based approaches to the concept of Smart City is necessary to develop models from which will be able to predict the behavior of individual entities. New models of Smart Street, as a basic building element of Smart City, will be developed in this project, which allows monitoring the behavior of individual entities within the Smart Street. The whole models are based on multi-agent systems, where individual agents will correspond to entities (person, vehicle, building, etc.) within the Smart Street. The available models will be studied, which is not yet over. It will also discuss their possible use in the Czech environment. The models will be developed in the Eclipse using Framework JADE and JADEX.

2016 - 2017

Studentská grantová soutěž ČVUT - SGS16/185/OHK3/2T/16

doc. Ing. Tomáš Horák, Ph.D.

The scope of MAVEN focusses on signalized intersections and signalized corridors. In the coming years, highly automated driving applications will become commercially available for motorway driving, and on these roads vehicle platooning will soon become reality. Additionally, next to the necessary vehicle technology also management regimes for activation and deactivation of automated driving applications, and especially the handling of platoons near interchanges and weaving sections already received considerable attention. Development of automated driving applications in urban environments is much less advanced in terms of Technology Readiness Levels. The MAVEN project targets to develop management regimes for automated driving applications at signalized intersections and signalized corridors. MAVEN will build upon the state-of-the-art of: automated driving on motorways, ADAS, C-ITS applications such as Green Light Optimal Speed Advisory (GLOSA) and adaptive traffic light control algorithms.

2016 - 2019

Horizon 2020 - 690727

Ing. Jana Kuklová, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.; Ing. Dmitrij Rožděstvenský, Ph.D.

This project focuses on detailed study of tolerance and compliance of the drivers to VSL systems. An eye tracking device will be used to track reaction of the drivers to changes in Variable Speed Limits and their compliance to the imposed speed limits. Detailed analysis of the data will allow to establish the level of drivers tolerance for VSL systems. Preliminary studies on data from detectors on Prague city rings shows interesting results that can be used for design of a next generation Highway Management Systems . This project aims to deliver the detailed insight into why and how exactly drivers react to different speed limits.

2016 - 2017

Studentská grantová soutěž ČVUT - SGS16/186/OHK2/2T/16

doc. Ing. Michal Matowicki, Ph.D.; prof. Ing. Ondřej Přibyl, Ph.D.

New algorithms for traffic control on Czech highways and freeways will be developed in this project, considering the main focus on advanced control approaches (fuzzy logic, multi-agent systems, genetic algorithms, neural networks etc.). The algorithms tested and introduced abroad will be studied. Afterwards, their transferability to the Czech conditions will be discussed. The newly developed algorithms will be compared with the algorithm currently used on Czech highways. The algorithms' testing and their comparison will be performed using the microsimualtion software Aimsun.

2015 - 2016

Studentská grantová soutěž ČVUT - SGS15/169/OHK2/2T/16

This project aims to develop a new generation of Road Line Traffic Control system and its supporting aplications.

2012 - 2015

Programme of applied research and experimental development ALFA

Ing. Valéria Horňáková; Dr. Ing. Jan Přikryl

Cílem tohoto projektu je organizace mezinárodní konference v rámci projektu COST 355 "Changing behaviour towards a more sustainable transport system" - Praha 2006. Tato konference se bude konat v posluchárnách ČVÚT a členové ČVUT jsou také jejími hlavními organizátory. Tato konference bude třídenní a součástí bude mimo jiné zasedání všech pracovních skupin, ale i plenární zasedání výboru celé skupiny. Hlavním cílem je setkání odborníků z různých zemí i z různých organizací. Nedílnou součástí je i výměna zkušeností v rámci diskuze. Tato výzva (COST action 355) se zaměřuje na jeden z moderních problémů - životní prostředí. Cílem je studium možností jak zmírnit zhoršující se trend v oblasti znečišťování životního prostředí. K problému přistupuje z celé řady rozdílných pohledů, například vytvoření alternativních zdrojů energie či přesun dopravy na dopravní prostředky šetrnější k životnímu prostředí.

2006 - 2006

IGS ČVUT - CTU0617216