Lidé na fakultě
Ing. Petr Had

2024, New Trends in Civil Aviation: Proceedings of the 24th International Conference on New Trends in Civil Aviation 2024, Praha, České vysoké učení technické v Praze), p. 287-293), ISBN 978-80-01-07181-6, ISSN 2694-7854

Air Traffic Control is a key element of Air Traffic Management that ensures safe and efficient operations in airspace and airports. This paper presents a study on the development and implementation of Air Traffic Control logic in an airport airside simulation model. This research focuses on the identification and resolution of potential aircraft conflicts within the airport movement area and uses an agent-based modelling approach to address these challenges. The agent-based approach facilitates the modelling of complex interactions between different entities, allowing for a detailed investigation of airport traffic dynamics and potential improvements. The study includes the identifi-cation of conflict areas in airport infrastructure, the creation of a fictional airport movement area, and the development and integration of control logic to resolve conflicts during simulation runs of the designed simulation scenarios. The results of the sim-ulations provide valuable insights into the impact of traffic volume, the use of bidirectional taxiway segments, and bay operations on the total time spent by aircraft in the infrastructure, the average number of clearances issued for particular aircraft, or the number of clearances required to traverse the created infrastructure.

Stať ve sborníku z prestižní konf.

2023, 2023 Smart City Symposium Prague, New York, IEEE Press), ISBN 979-8-3503-2162-3, ISSN 2691-3666

The concept presented in this paper targets the issue of extensive passenger flows to the airport, which could strongly influence the overall on-time performance of various entities involved. The basic idea of the proposal is to better interconnect the airports' and Air Traffic Management infrastructure with the existing city's urban infrastructure. The goal of the concept is to utilize further available capacities, usable for absorbing certain passengers' flows, and that way enabling their better distribution, which is in line with the main industry stakeholders' interests. Virtual queueing represents the proposed principle, which opens the possibilities for improved guidance of the passengers from their point of origin to the airport (departure). According to the current operational situation, the passengers' guidance will target the most suitable journey options, which involve various points of interest within the city that passengers could visit and spend some time there. This creates additional capacity and places the passengers into the so-called virtual queues. The main beneficiaries of the proposed approach are passengers, with better planning and additional journey offers, airports, with better queueing management and on-time performance, and Air Navigation Service Providers, with reduced delays caused by passenger factors.

Stať ve sborníku z prestižní konf. (Scopus)

2023

Dokument představuje výsledek V03 (Poradní a doporučující materiály) projektu Inovativní způsob navigace vrtulníků letecké záchranné služby v České republice s využitím GNSS, postupů Point in Space a tratí Low Level Routes (CK01000031). Výsledek je nezbytnou součástí projektu, jelikož vedle definované koncepce jsou nutné také správné postupy pro její využití a zavedení do praxe. Hlavním přínosem výsledku je snazší a urychlená implementace postupů PinS v ČR.

Výsledky promítnuté do směrnic a nelegisl. předpisů

2023, 2023 New Trends in Aviation Development (NTAD), Praha, IEEE Czechoslovakia Section), p. 89-94), ISBN 979-8-3503-7042-3, ISSN 2836-2756

In this paper we investigate opportunities to enhance the existing operational procedures of airbridge operators. Prior to exploring potential improvements, a simulation model of the Prague Airport north apron infrastructure is developed using AnyLogic simulation software. The primary focus of optimization revolves around human resource allocation. The optimization of airbridge operator processes is achieved through various configurations of the developed simulation model. Comparative analysis with the current operational framework is conducted, followed by a thorough evaluation of the results. Furthermore, recommendations are provided on how to implement such processes in practice to ensure that airbridge operators and necessary equipment are always available in sufficient quantities, thereby achieving the desired quality of aircraft handling. Versatility of the model also allows for future improvement and its application to optimize the configuration of aircraft ground handling processes.

Stať ve sborníku z prestižní konf. (Scopus)

2023, Transportation Research Procedia - INAIR 2023, Linz, Elsevier BV), p. 68-76), ISSN 2352-1465

The subject of this paper is to summarize current research in the area of aircraft departure delay prediction based on machine learning algorithms and to confirm the relevancy of the identified variables (factors) whose implementation into predictive models could improve their accuracy and thus the ability to accurately predict the Target Off Block Time (TOBT) at Collaborative Decision Making (CDM) airport. In order to predict delays, several prediction models have been developed. One of the large categories of mathematical models are machine learning methods. The article includes a comprehensive literature review focused on machine learning algorithms confirming that none of those approaches used data from aircraft ground handling to predict aircraft departure delays, mainly due to ground handling data availability and scope of the research. The paper describes variables that could extend the existing machine learning prediction models. This research is supported with the real operational data from Václav Havel Airport Prague. The case study at Prague airport verifies a correlation of proposed variables with TOBT time. In several cases, a strong correlation between the proposed variables and TOBT was confirmed.

Stať ve sborníku z prestižní konf. (Scopus)

2023

Cílem této studie je navrhnout koncept provozu (CONOPS postupů PinS a LLR) a příslušnou studii bezpečnosti (Safety Study) umožňující využít přístrojové postupy pro lety vrtulníků (přiblížení, přistání, odlety, traťové lety) v neřízeném vzdušném prostoru a pod minimální výškou pro radarové vektorování, přičemž bude dosahovat akceptovatelné úrovně provozní bezpečnosti. Pro splnění tohoto cíle je třeba využít nejlepší praxi existujících postupů, identifikovat překážky současného prostředí a navrhnout jejich odstranění, definovat základní předpoklady bezpečných postupů, navrhnout koncept provozu pro PinS a koncept provozu pro nízké letové tratě (LLR – Low Level Routes), zhodnotit provozní bezpečnost navržených řešení, provést ekonomickou analýzu zavedení konceptů provozu a zhodnotit provozní přínosy při implementaci konceptů provozu, včetně analýzy dopadů na jiné uživatele vzdušného prostoru.

Oponovaná výzkumná zpráva v češtině

2022, 2022 New Trends in Civil Aviation (NTCA), Praha, České vysoké učení technické v Praze), p. 129-134), ISBN 978-80-01-06985-1, ISSN 2694-7854

The capacity and throughput of the airport infrastructure represent the important parameters, used for operation planning, infrastructural changes, safety analysis, etc. A limitation of throughput can significantly influence the overall airport performance. For these reasons, having a precise information or prediction of the infrastructure usage is important input for planning or designing. This paper brings the analysis of the impact of a crucial taxiway infrastructure limitation, such as closed part of the infrastructure, at Prague Airport. For this purpose, the taxiway operations model was developed. In order to evaluate the changes in aircraft routing and surfaces usage, a realistic scenario with the closed taxiway segments was defined. The impact was evaluated in terms of recorded delays of arriving and departing aircraft, generated on the taxiway system; delays of the aircraft dispatched to different stand due to closure; and queuing of the aircraft at the taxiway segments due to limited throughput.

Stať ve sborníku z prestižní konf.

2022, Transportation Research Procedia, Amsterdam, Elsevier B.V.), p. 246-255), ISSN 2352-1457

The subject of this paper is a development of the mathematical model for determining the number of airport equipment dedicated for the baggage loading and unloading. This model can predict the demand for the carts and loaders based on the input data. Based on this prediction, the optimal number of equipment is calculated. The ability to predict the required amount of the airport vehicles in advance could make the aircraft loading and unloading process more efficient. It would also allow better capacity planning of the ground handling system. In the first part, the current state and procedures for baggage loading and unloading are analysed. Based on the theory of linear programming, a mathematical model is created to predict a demand for equipment and calculate the optimal number needed to handle all flights. This model is subsequently implemented in the created software, which allows to perform experiments with the proposed mathematical model. Operation data from Václav Havel Airport Prague are used to verify the correct functioning of the model.

Stať ve sborníku z prestižní konf. (Scopus)

2022, Transport Means 2022. Proceedings of the 26th International Scientific Conference, Kaunas, Kaunas University of Technology), p. 190-194), ISSN 1822-296X

Due to the effects of therecentglobal pandemic, reduced air traffic and passenger numbers, aviation is experiencing significant changes inairport business models.Aviation is recovering rapidlyin 2022and is facing many operational challenges. The mostsignificant disturbances are caused bythe shortage of airport and ground handling staffresulting in queueing and overcrowding in particular airport areas. To mitigate the negative effects of these factors, there is aneed for optimization ofthe departingpassenger flowleading to improved airport operations and airport on-time performance.In this paper, we propose a newSmart City –Smart Airport interconnectionconceptwith utilization of virtual queueing technology, that addresses the current issues at airports. The solution would providedepartingpassengers with useful information including the most suitable arrival time at the airport to avoid extreme queueing. The airport might use the proposed solution to affect the arrival times of passengers to prevent overcrowding and creation of queues in airport terminals. This concept aims to bring opportunities and benefits tothe participants, such as passengers, airports, ground handling companies, airlines,andoperators of alternative collectors shifted into the urban infrastructure.

Stať ve sborníku z prestižní konf. (Scopus)

2022, 2022 New Trends in Civil Aviation (NTCA), Praha, České vysoké učení technické v Praze), p. 103-108), ISBN 978-80-01-06985-1, ISSN 2694-7854

The aim of this technical paper is to describe newly upgraded platform of Air Traffic Control simulator called ESCAPE Light. ESCAPE is a simulation platform designed and developed by EUROCONTROL and its Light version is distributed to universities and research organisations across the world. This paper goes over the chosen hardware and software used during the upgrade, and it highlights the advantages of the new complete platform over the obsolete one and depicts all the compromises the authors had to make during the upgrade. The work is deemed beneficial to provide this description for future use of the simulator in various projects of the Department of Air Transport.

Stať ve sborníku z prestižní konf.