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7 kwi 2021 · Analyse and suggest enhancements on the planning of airport resources (stands, gates and check-in counters), taking into account flight schedules (submitted by aircraft operators) by early identifying the airport’s high and low traffic periods and through traffic forecasting at an hourly level.
Through data analytics, airports can perform valuable tasks such as better visualizing their data to gain a more comprehensive understanding of their operations, developing predictive analysis and what-if scenarios, backing up their management decisions with hard data, identifying operational inefficiencies, and leveraging historical information...
7 lip 2019 · This chapter outlines an analysis performed for 28 Greek island airports aiming to reveal key aspects of demand (seasonality and connectivity) and of supply (practical capacity of airports,...
7 lip 2019 · This chapter outlines an analysis performed for 28 Greek island airports aiming to reveal key aspects of demand (seasonality and connectivity) and of supply (practical capacity of airports, characteristics of airplanes and air services).
1 lut 2020 · Development of data analytics in aviation and related applications is also growing rapidly. This paper concisely examines data science and analytics in aviation studies in several critical areas, namely big data analysis, air transport network management, forecasting, and machine learning.
23 sie 2021 · Internet of Things (IoT) devices* in aircraft machinery or airport halls are generating huge volumes of data and organisations are implementing predictive analytics to optimise everything from security wait times to maintenance tasks.
3 mar 2022 · Airports who started data analytics projects can identify its use cases with the goal of optimizing airport capacity planning in real-time operations to better understand current airfield ...
