People
Ing. Petr Had

Ing. Petr Had; doc. Ing. Jakub Hospodka, Ph.D.

The issue of emissions in air transport has been an increasingly discussed topic in recent years, also in the context of the growing volume of traffic. Carbon dioxide emissions have always been discussed in this context, with other pollutants receiving increasing attention as well in recent years, having also a significant impact on the global climate and local air quality near airports. In order to tackle this issue with proactive measures, the ability to effectively monitor and report these emissions is necessary, with a suitable data source being ideal for this purpose. Current options for calculating emissions of airport ground movements are still relatively limited in terms of the accuracy of their results. This project focuses on the use of the ADS-B surveillance technology for the purpose of producing airport operational statistics and refining the calculations of airport ground movement emissions. For this purpose, defined traffic-related parameters are evaluated, including time milestones associated with the aircraft taxiing process, which are automatically determined using ADS-B data.

2025 - 2026

Studentská grantová soutěž ČVUT - SGS25/106/OHK2/2T/16

Ing. Petr Had; doc. Ing. Luboš Socha, Ph.D. et Ph.D.; Ing. Slobodan Stojić, Ph.D.

There is a strong emphasis on an airport processes optimization, mainly due to the increasing demand for the air transport. Airports are considered complex systems with numerous interconnected and interdependent processes. Key initiatives for improving predictability and coordination include CDM (Collaborative Decision Making) and the new APOC (Airport Operations Centre), which are currently being implemented at the major airports. However, a significant shortcoming of the CDM and APOC remains the relative neglect of processes related to passengers' arrival at the airport and their check-in at the terminal. One of the main challenges that airports face is the limited ability to test changes and new procedures in real environment due to continuous operations and regulatory requirements. Implementing changes is time-consuming and very expensive. Poor implementation can negatively impact airport operations and the performance of the entire passenger check-in process. Therefore, it is essential to use simulation tools that allow testing of changes and new concepts outside the actual terminal operations. Existing commercial simulation tools are relatively closed and expensive, which creates an opportunity to develop an accessible and open tool for simulation of the passenger check-in processes that is flexible and enables easy addition of new functionalities. The aim of the project is to create a digital model of an airport terminal that simulates operations within the terminal building and the nearby public areas, with the main focus on passenger check-in processes before departure and after arrival. To achieve this objective, a simulation tool will be developed using AnyLogic software, incorporating a model of Terminal 2 at Václav Havel Airport Prague. Multi-agent modelling will be utilized for the creation of the simulation tool. This tool will enable the simulation of the entire passenger check-in process, for both arrivals and departures.

2025 - 2025

Studentská grantová soutěž ČVUT - SGS25/073/OHK2/1T/16

doc. Ing. Daniel Hanus, CSc.; Ing. Slobodan Stojić, Ph.D.; Ing. Jiří Volt

The recent boom in air traffic has brought new challenges in optimising and managing airport processes. Queues at key airport processors such as check-in counters and security checkpoints are becoming increasingly common. This project focuses on the development of an innovative solution for optimising airport processes and managing passenger flow to minimise queuing at key airport processors. The main objective is to develop a computational algorithm for managed passenger arrivals at the airport that will lead to load spreading and more efficient use of available airport resources. The project is expected to use Operations Research, Simulation and Queuing Theory. The next step of the project is to investigate the percentage of passengers for whom an adjustment in arrival time is required to make the proposed solution effective while ensuring that all passengers meet their departure time. The results of the project should lead to an improvement in the efficiency of the overall passenger check-in process at the airport and a reduction in delays. Furthermore, they should contribute to improving the overall traveller experience.

2024 - 2025

Studentská grantová soutěž ČVUT - SGS24/107/OHK2/2T/16

Cílem projektu je vyvinout prediktivní model, který zvýší předvídatelnost pohybů letadel v taktické fázi provozu na základě provozní situace a propustnosti pohybové plochy letiště a přesnost stanovení času odletu letadel. Pro dosažení maximální úrovně shody s reálným systémem bude model zahrnovat podstatné rozhodovací procesy ovlivňující pojíždění a odbavení letadla (včetně řízení letového provozu a rozhodování posádky letadla). Propojením odborníků z univerzity a praxe, se zkušenostmi v oblasti letištního provozu, programování a simulačních analýz, a s využitím reálných dat bude vytvořen prototypový nástroj použitelný v reálném letištním provozu.

2024 - 2024

Program na podporu aplikovaného výzkumu a inovací SIGMA

Ing. Veronika Drechslerová; Ing. Michal Drábek, Ph.D.; Ing. Petr Had; Ing. Tomáš Kohout; Ing. Bc. Jan Kruntorád; Bc. Petr Miloslav Kubíska; Ing. Jiří Růžička, Ph.D.; Ing. Josef Svoboda

Konference navazuje na úspěšné předcházející ročníky konference doktorandů a mladých vědeckých pracovníků Fakulty dopravní z let 2015 až 2022. Jedním z hlavních cílů konference je získání zkušeností mladých vědeckých pracovníků na půdě jejich domovské univerzity a příprava pro jejich další vystupování na konferencích, seminářích apod. Zvládnutí techniky vystupování před větším auditoriem, stejně jako schopnost tvorby odborných a vědeckých příspěvků, samozřejmě přispívá k budování osobnosti studentů, ale zároveň i dobrého jména ČVUT jako instituce, která učí své studenty i měkkým dovednostem. Dalším cílem konference je přispět k informovanosti o probíhajících či připravovaných výzkumných záměrech v rámci Fakulty dopravní. FD svým zaměřením pokrývá široké spektrum problémů a úkolů, což vyplývá i z jejího poslání. Doprava je vědní obor interdisciplinární a při řešení jakékoli výzkumné otázky by mělo dojít k součinnosti odborníků z více oblastí. Doktorandi tak dostanou na navrhované konferenci možnost a prostor navázat spolupráci na vědeckých úkolech svých kolegů. To by ve výsledku mělo vést k dalšímu růstu vzdělanosti a otevřenosti mladých vědeckých pracovníků, což by mimo jiné mělo patřit k náplni terciálního vzdělávání. Konference je koncipována jako jednodenní, předpokládaným termínem konání je listopad 2024, jednacím jazykem konference bude výhradně angličtina. Oproti předchozím ročníkům bude letos snaha pořádat konferenci mimo prostory Fakulty dopravní (NTK, budova CIIRC). Změnou místa pořádání si organizační výbor konference slibuje větší atraktivitu konference pro zahraniční a tuzemské partnery. Celková tématika konference bude zaměřena na dopravu a její jednotlivé části například od záležitostí ekonomických, přes problémy v letecké dopravě až po dopravní nehody. Totožně jako během prvních ročníků jsou plánovány vyzvané přednášky hostů a členů vědeckého výboru, v odpoledních hodinách navážou tematické bloky přihlášených studentů. Snahou organizačního výboru bude

2024 - 2024

Studentská vědecká konference ČVUT - SVK 58/24/F6

Ing. Petr Had; doc. Ing. Ivan Nagy, CSc.; Ing. Pavel Smíšovský; doc. Ing. Luboš Socha, Ph.D. et Ph.D.; Ing. Slobodan Stojić, Ph.D.

Aircraft ground handling is a complex process involving a large number of entities whose synergy ensures safe and smooth operations. It is a process that is highly sensitive to operational changes that may occur. These changes can cause delays during the ground handling process. The generated delays are then transmitted to the entire network, which is now at the limits of its capacity and needs to be optimised. In order to optimise airspace flows, Network Manager Operations Centre (NMOC) has been created and Collaborative Decision Making (CDM) procedures have been developed. The CDM concept is based on the establishment of a system of information sharing between all stakeholders involved in the operation and functioning of air transport. One of the most important elements defined by the CDM concept, which is also used by NMOC to optimise flows, is the TOBT (Target of block time). This is the time of the end of ground handling. In the first phase, this time is automatically generated based on the scheduled departure of the aircraft and is manually updated by the handling ramp agent during the ground handling process. However, there are no strict procedures for setting the TOBT. Therefore, especially when unexpected operational changes occur, an inaccurate TOBT time can be set. In order to achieve the project objective, a prediction model based on machine learning algorithms will be developed. This model will be able to quantify the influence of factors and their combinations on the TOBT time and then subsequently predict this time. Subsequently, the accuracy of these predictions at various times during the turnaround of the aircraft be verified by comparing the calculated predictions with the actual TOBT time.

2023 - 2024

Studentská grantová soutěž ČVUT - SGS23/142/OHK2/2T/16

Ing. Petr Had; Ing. Marek Hamza; Ing. Slobodan Stojić, Ph.D.; prof. Ing. Věra Voštová, CSc.; Ing. Miroslav Špák, Ph.D.

The airlines diversion management entails a complex decision-making process that comes into action during the adverse events, preventing the execution of the regular flight operations. Diverting from the intended route can be caused by several reasons both when the safety of the flight or the well-being of the passengers is concerned. A flight diversion can severely disrupt the passenger's comfort, jeopardize the fleet or the crew planning and is generally accompanied with the significant expenses. The intention of every airline in a case of a diversion is to assure the fastest turnaround time and/or provide the passengers with the highest level of services to mitigate the negative effects. A wrong selection of an alternate airport, that is not having enough capacity, personnel or material resources to handle a flight diversion in a timely manner can negatively influence the airline in several ways. Both strategic and tactical diversion management process is a collaborative decision-making procedure, heavily dependent on the base of the information available, where the main actors are not only flight crew and the airline OCC but also the ATC, airport operators and the local service providers. Airline strategic diversion planning shall comprehend a well-defined data set and its data quality procedures shall ensure the information accuracy in the pre-tactical phase. The consequent real time data processing can enhance the decision-making process in a tactical phase of the flight diversion. The data and information required comprise of available airport capacities and other relevant ground resources needed to handle a diverted flight. As stated, such data and information are mostly tactically critical, therefore continuous monitoring and updating shall be ensured. This project shall examine the airport selection methodology based on the proposed real time data management. The results shall validate the data items collected from the airports in real time, the selectio

2021 - 2022

Studentská grantová soutěž ČVUT - SGS21/136/OHK2/2T/16