People
Ing. Eva Hajčiarová

Ing. Eva Hajčiarová; Ing. Patrik Horažďovský, Ph.D.; Ing. Martin Langr, Ph.D.; Ing. Kristýna Navrátilová; Ing. Zuzana Purkrábková

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.

The "PPSR" internal calls

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

Ing. Eva Hajčiarová; Ing. Kristýna Navrátilová; Ing. Jiří Růžička, Ph.D.

Hlavním cílem projektu pořízení a testování technologie magnetických detektorů její zapojení do činnosti Laboratoře řízení a modelování dopravy. V rámci laboratoře je pak cílem tuto technologii využít nejen pro její výzkumné a odborné činnosti, ale i pro praktické činnosti studentů ve studentském projektu Řízení a modelování dopravy, i v rámci výuky odborných předmětů studijního programu a specializace Inteligentní dopravní systémy.

2024 - 2024

The "PPSR" internal calls

Ing. Eva Hajčiarová; Ing. Kristýna Navrátilová; Ing. Jiří Růžička, Ph.D.

Cílem projektu aktualizace moderních přístupů pro měření dopravních dějů využívaných v rámci Laboratoře řízení a modelování dopravy. Tato laboratoř funguje v rámci Ústavu dopravní telematiky. Laboratoř disponuje řadou dopravních technologií, které jsou využitelné při operativních měřeních v rámci výzkumné i další činnosti ústavu. S výjimkou off-line rozpoznání registračních značek vozidel pro účely směrových průzkumů, však laboratoř nedisponuje technologií umožňující sběr dopravních parametrů s využitím moderních přístupů videodetekce. Tato technologie tak fyzicky chybí i v rámci praktické výuky předmětů programu a specializace Inteligentní dopravní systémy.

2023 - 2023

The "PPSR" internal calls

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

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