Airport Management System Research Articles

Development of a cognitive model for the analysis of relationships in the airport environmental management system

Aviation enterprises (airports) are massive facilities with a variety of effects on the environment, yet, those influences are significantly understudied and lack structuring, leaving the airports at low levels of sustainability and with impaired management. Thus, the aim of this research was to compile the mind map to describe a system of environmental impacts and problems associated with the airports. The model (map) was created by conducting complex multi-stage expert surveys with scoping of elements of airport management system, which identified 68 factors belonging to 8 groups. The factors are related to atmospheric air, soil and water, flora and fauna, physical impacts, organisational, environmental, administrative, logistical and spatial issues, construction and technical solutions as well as social, economic and human factors. With the help of ranking based on experts’ judgements, 13 most relevant (key) factors of the impact on the environment were distinguished. To build an oriented graph of the airport management system and analyse it, the approach of drawing arcs (arrows) of impact was used. It is found that the most influential factors tend to be dynamic, related to the planning stages of airports and instead of purely environmental ones are interdisciplinary. The annual passenger traffic at the airport, compliance with the standards of sanitary protection zones, airport’s capacity and types of aircraft received by the airport demonstrated the highest impact on the airport environmental management system. In combination with studies of the effects of individual factors and the impact of the airport on the environment, the results of the work can be applied practically in the management and decision-making processes regarding the environmental safety of the airport

Flight Delay Prediction With Priority Information of Weather and Non-Weather Features

Flight delay prediction is a major topic in intelligent airport management systems, which emphasizes the use of historical data and potential features to estimate whether a future flight will delay. However, many factors affect flight delays, and these factors can be categorized into weather features (e.g., temperature, humidity, and wind speed) and non-weather features (day-of-month, day-of-week, scheduled departure and arrival time). Moreover, the impacts of weather and non-weather factors on flight delays are different. Weather features play a more important role in adverse weather conditions and are the main reason for long flight delays. When the weather condition changes from severe to non-severe, non-weather features are the main reason for flight delays, and the caused delays are relatively short. Such different impacts on flight delays raise a strong need for considering the priority information of weather and non-weather features in flight delay prediction. In this paper, we design a variant of the Random Forest model to consider the priority information of weather and non-weather features to predict flight delays. A clustering algorithm-based analysis approach is developed to assess the impact of weather and non-weather features on flight delays and draw conclusions on the priority information of weather and non-weather features. A probability sampling method is embedded in the Random Forest at the feature selection stage to perform a prior choice for weather and non-weather features to help select the key influential features. Experiments are carried out on U.S. domestic flights in July 2018, and the comparison results demonstrate that the proposed model can significantly increase flight delay prediction accuracy.

Things-Net

The Internet of things aims to create a continuity between real and digital worlds, by integrating physical objects into the digital universe. This will increase the number of connected machines and generate new applications. When combined according to an appropriate logic, IoT objects can produce value-added services that a single object cannot provide. In order to avoid costly errors, this execution logic has to be modeled and validated, using a formal model, before its effective deployment. To address the lack of special-purpose modeling languages for IoT applications, the authors propose the Things-Net model, designed specifically to meet the needs of IoT-based systems. It allows an easy modeling and verification of IoT time-dependent platforms, to ensure that the designed IoT solution fulfills the application's requirements. In order to illustrate the approach, authors apply the modeling and verification techniques to a prototype of an airport management system based on IoT.

Increasing Air Traffic Effect on Developing Regional and Mega-hub Airports in Asia-Pacific Region

With the skies busier than ever, air traffic needs to be addressed properly because it affects various other determinants of a national economy. The commercial flights are set to double in the next decade, the eventual method to tackle the problems raised due to air traffic in airport management systems need upscaling. It has to be made into consideration that aviation or air traffic plays a vital role in nourishing and strengthening the lifestyle of communities as well as the local economy in the form of employment opportunities, a boost to the GDP, educational services, and an uplift to the quality of lifestyle. The everyday increase in the rate of customers' demand for air travel services has highlighted the problem of the need of better utilization of air space. With the induction of new types of unmanned and autonomous aircrafts the need of revamping the system is also necessary. Recommendations on this matter are discussed further. In Dec 1903, the air age arrived, when the Wright Brothers try to fly and succeeded the aircraft above the ground surface i.e., more than 120 feet at Kitty Hawk, N.C., the U.S state. As time passed the number of aviation industry increase the numeral amount of aeroplane or aircraft day by day, as a result, the rate of traffic escalates exponentially. The main equitable of aviation is to provide the opportunities regarding the less time effectiveness and comfortable environment to establish a destination. On the other hand, it has also a dependency on the “economy” (i.e, less expensive traveling). The above-mentioned postulates show the increase in the rate of customers demanding a more suitable air traveling services, which also increases the number of the aeroplane and directly related to the increase in the development of airports. Thus, for such a problem solution it requires more outstanding services and control of air traffic. This chapter discussed the research objectives by linking the rate of air traffic control and the literature associated with objectives.

Digital technologies are the basis of digital economy of civil aviation airport refueling complexes

The article analyzes the main information automated control systems for refueling complexes, based on this analysis, the problems of the airport ground handling functioning are identified, the main of which are the inefficiency of managing stochastic processes that occur in failure situations, as well as the lack of automated control systems for the level of purity of aviation fuel from mechanical impurities and water. The way to upgrade Groundstar Inform GmbH - a single integrated airport management system by increasing the capabilities of the system by adding new components is proposed. A solution to the problem of multi-resource planning of aircraft refueling in high-intensity flight conditions, including failure situations, based on intelligent simulation and resource management is proposed. As well as from the point of view of optimizing the solution of business process objectives the development of planning algorithms using the mathematical apparatus of fuzzy modeling and control, fuzzy sets and fuzzy logic underlying the intelligent modeling of processes is proposed. The concept of an adaptive information management system of technological processes of a refueling complex for monitoring the purity of jet fuel, based on dynamic on-line monitoring of the existence of mechanical impurities and water is introduced. The article examines the elements of creating a "Smart Refueling Complex", in which intelligent business processes are combined into one whole due to the use of "smart" operational processes and technological equipment. The introduction of digital technologies, "industry 4.0" tools and trends in automation, digitalization and digitalization of the modern aviation fuel supply for civil aviation is becoming the basis of the digital economy of civil aviation refueling complexes.

Guide on how to adapt air transport to international transport of passengers in the time of COVID-19

The article presents the current state of knowledge about the SARS-CoV-2 virus and COVID-19 disease in such a way as to provide the basis for the modernization of the flight and airport management system in such a way as to maximally protect passengers and crew from infection and transport of sick people from one country to another.

Smart airport management and flight service delay prediction using linear regression technique

In airports, there is a possibility of individual entry using fake tickets to involve in crime activities. The baggage mislaid and delay of flight service may lead to dissatisfaction among the passengers. The fake ticket identification, avoiding mislaid baggage and flight service delay notification are focused in this paper as existing systems are not attending all the issues together. An automated system is designed to increase the customer facilities in terms of flight delay notification, baggage mislaid alert and ticket bookings. The baggage are handled using RFID tags whereas fake tickets are identified through QR scanning. The flight delays are predicted using machine learning-based linear regression technique with 97% accuracy. Mobile app is developed for ticket booking to improve the passenger facilitation to a greater extent and web app is developed for airport management to verify the fake ticket. The proposed airport management system makes the air travel more customer friendly with high security.

An Application of SMC to continuous validation of heterogeneous systems

This paper considers the rigorous design of Systems of Systems (SoS), i.e. systems composed of a set of heterogeneous components whose number evolves with time. Such components cooperate to accomplish functions that they could not achieve in isolation. Examples of SoS include smart cities or airport management system. The dynamical evolution of SoS behavior and architecture makes it impossible to design an appropriate solution beforehand. Consequently, existing approaches build on an iterative process that takes SoS evolution into account. A key challenge in this process is the ability to reason about and analyze a given view of the SoS (on a fixed number of SoS constituents) with respect to a set of goals, and use the results to eventually predict the evolution of the SoS. To address this challenge, we rely on a scalable formal verification technique known as Statistical Model Checking (SMC). SMC quantifies how close the current view is from achieving a given mission. We integrate SMC with existing industrial practice, by addressing both methodological and technological issues. Our contribution is: (1) a methodology for validation of SoS formal requirements; (2) a formal specification language able to express complex SoS requirements; (3) the adoption of current industry standards for simulation and heterogeneous systems integration ; (4) a robust SMC tool-chain integrated with system design tools used in practice.We illustrate the application of our SMC tool-chain and the obtained results on a case study.

Aircraft Shortest and Fastest Continuous Descent Approach Development

Flight-path optimization is designed for minimizing aircraft noise and fuel consumption around airports and for increasing the number of aircraft operations. The main objective of this paper is to provide the optimal flight approach, taking into account noise sources, fuel consumption, constraints, and extreme operational limits of aircraft. This paper introduces a new trajectory generation algorithm based on Hamilton–Jacobi–Bellman considerations, taking into account aircraft jet noise. The shortest and fastest continuous descent approach is obtainedasanoptimaltrajectoryreducingaircraftnoise(6 dB)andfuelconsumption(27%to15%).Itisaonesegment approach with a soft and short continuous descent, which is better conceived in terms of reduction of environmental impacts of aircraft than the two-segment approach. Results show that this new method is appropriated for aircraft trajectory optimization and could be implemented in avionic systems. It can be interfaced with the in-flight management system respecting constraints of the airspace system regulation and improving its functionalities.Shortestandfastestcontinuousdescentapproachcouldbenefitbothairlinesandcommunities.Italso could be designed for practitioners to understand the implementation of airport management systems. Shortest and fastestcontinuousdescentapproachisconsideredasastrategytobeusedforthe finalapproach.Itallowsonetoavoid difficulties of the flight. It can help the flight crew to make timely and correct thrust settings and approach path corrections. Because this study is limited to one noise source for one aircraft, other research is needed to take into account all noise sources of several aircraft.

A Comparative Analysis of Financial Aspects of Airport Administration System

This paper analyzes financial conditions of world major airport operators and considers characteristics of Japanese airport management system. Although large-scale airport operators in the world manage several airports, Japanese airport operators manage a single airport. Nevertheless, the comparative analysis shows that assets scale of Japanese operators are the world highest level. Regarding KIAC, low equity ratio brings large interest cost and, it lets KIAC be a rare example of an airport operator recording ordinary loss. Furthermore, the analysis shows that KIAC's assets composition concentrates on low profitability substmctures and the total assets turnover is much lower than other airport operators.

A Study on Airport Management System in Japan

A Study on Airport Management System in Japan

Integrated Pavement Management System for Kennedy International Airport

John F. Kennedy (JFK) International Airport is one of the largest and busiest airports in the world. Effective maintenance and management of JFK's extensive network of runway, taxiway, and other airfield pavements presents a major engineering challenge. To accomplish this, the Integrated Airport Management System (IAPMS) has been developed and implemented at JFK. IAPMS couples state‐of‐the‐art pavement engineering methods with powerful information management technology to provide data base management, pavement engineering analysis, and forecasting tools for airfield pavement maintenance management. The basic components of IAPMS and the steps involved in the implementation of IAPMS at JFK are outlined. An example application of IAPMS to hypothetical but typical maintenance management questions at JFK is also provided.