People
Ing. Slobodan Stojić, Ph.D.

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

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

Ing. Lenka Hanáková, Ph.D.; Ing. Michaela Kalivodová; prof. Ing. Milan Lánský, DrSc.; Ing. Slobodan Stojić, Ph.D.; Ing. Sarah Van Den Bergh; Ing. Oldřich Štumbauer, Ph.D.

Airports affect economic and social environment of their neighborhood. Their operation is linked to the activities of many other business companies. The airport itself is a business company and so generating profit is one of its goals. In today's highly competitive environment of air transport across Europe, it is important to continually analyze airport revenue and expenditures. An important factor influencing the overall balance is efficiency of individual processes. To allow the required quality of service (especially in terms of waiting times), it is important to ensure consistency between the intensity of input requirements to the system and the intensity of service provided. Among the most important parts of the handling process, which influence all departing passengers and number of other factors and parameters, there are passenger and cabin baggage security checkpoints. Consistency between the intensity of the input requirements (passenger arrival) and the intensity of the service (expressed by the number of operating security check lines) can be explicitly controlled at the checkpoints using analytical methods and simulation tools. Maintaining high level of operational efficiency whilst keeping high level of passenger satisfaction and adhering to strict security requirements is a difficult target. The proposed project, according the dissertation thesis of the proposer, aims to create analytical tools for prediction of the workload of centralized security checkpoints, by the means of mathematical models to create models refining long-term forecasts and based on current operational conditions to create tools for evaluating operational efficiency.

2018 - 2018

Studentská grantová soutěž ČVUT - SGS18/095/OHK2/1T/16

Ing. Kateřina Martincová; Ing. Slobodan Stojić, Ph.D.; Ing. Roman Vokáč, Ph.D.; prof. Ing. Věra Voštová, CSc.

This project addresses an issue of the size and layout of aircraft stand in terms of operational safety on the apron during a technical handling of the aircraft. In the first phase, research and analysis of the dimensions and appearance of aircraft stands for code letters C, E and F will be carried out at selected international airports. Further the data will be compared with the respective regions regulations and safety risks of aircraft handling will be identified. At the end a model stand will be designed for each aircraft code letter to reduce the safety risk while maintaining reasonable spatial requirements.

2017 - 2018

Studentská grantová soutěž ČVUT - SGS17/152/OHK2/2T/16

Ing. Jan Franěk; Ing. Eva Kvasničková; prof. Ing. Milan Lánský, DrSc.; Ing. Vladimír Plos, Ph.D.; Ing. Matouš Staněk; Ing. Slobodan Stojić, Ph.D.

The process of creating simulations is (not only) very time-consuming, challenging in terms of input value processing (system characteristics) and difficult for proper system identification and configuration. Airports usually deal only with operational simulations when they are creating simulation models because of the time and economical reasons. Such models are developed in order to determine the capacity demand and verify appropriate terminal processes scenarios for specific terminals. Airports don't give sufficient attention to a scientific potential. The proposed project offers an extension of possible solutions of the given issue in current terminal process analysis and defining the critical elements of the process. The examination scope of view doesn't need to be limited solely to operational aspects. It is possible to deal with the modelling of various options for solving the issue. These for example include research on the influence of different groups of passengers on check-in process efficiency, the impact of passenger knowledge, etc. After the basic simulation is created it is possible to design and validate possibilities of influencing and controlling the passengers flow in order to increase efficiency and maintain a high level of service quality. These include the usability modelling of virtual queuing theory (some passengers are preferred at security before passengers from other flights depending on the time before departure), evaluation the impact of the introduction of specialized security checkpoints for groups of passengers with different (significantly longer) time of screening, etc. The possibility of impact assessment of new technologies and procedures (and their designing with respect to operational efficiency) is very actual nowadays.

2016 - 2017

Studentská grantová soutěž ČVUT - SGS16/189/OHK2/2T/16

Ing. Jan Franěk; doc. Ing. Vladimír Němec, Ph.D., prof. h. c.; Ing. Vladimír Plos, Ph.D.; Ing. Slobodan Stojić, Ph.D.; Ing. Veronika Červená; Ing. Oldřich Štumbauer, Ph.D.; Ing. Marek Štumper

The project is aimed at establishment of basic model allowing advanced evaluation and analysis of safety performance in time. In nowadays aviation, safety performance is an element subjected to efforts for its effective quantification. Expressing the safety performance in time represents a signal which is possible to analyse similarly as any other sensorial signal (picked up from speedometers, navigational systems etc.) utilizing current mathematical modelling. This basic model, however, will be focused on the so called soft data (data about events, operational data etc.) which are modern phenomenon and which comprise significant part of the domain of safety. In aviation, air navigation service providers have the majority of relevant data available, and at the same time, they have the most advanced safety management systems (SMS). Thus such a model application appears to be most feasible for them. The model will provide safety management with brand-new type of safety analysis which should facilitate decision process and priority settings. It will be based upon most appropriate mathematical mechanism selection which will serve for identification of ways for safety performance evaluation in time.

2016 - 2017

Studentská grantová soutěž ČVUT - SGS16/188/OHK2/2T/16