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Yazar "Erol, Ufuk" seçeneğine göre listele

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    Analyzing the New Global Reporting Format from the Pilot Perspective
    (Sürdürülebilir Havacılık Araştırma Derneği, 2024) Tuncal, Arif; Erol, Ufuk
    Global Reporting Format (GRF) for runway surface conditions is an important step in improving aviation safety by providing standardized and consistent information. The aim of the study was to evaluate the effectiveness and implementation of the GRF among pilots. Qualitative and quantitative methods were used to comprehensively address all aspects of the study. The sample consisted of 266 pilots. Findings showed that the majority of pilots are aware of the GRF and value its benefits, such as consistency, reliability, and standardized terminology, despite it being a new method. Pilots highlighted the role of the GRF in improving communication and decision-making for take-off and landing. However, the study also identified challenges, including occasional inaccuracies in reporting, the need for real-time updates, the length of ATIS reports, and inconsistencies in application across airports in different regions. These issues highlight the human factor and the need to develop the GRF. The study makes a unique contribution by highlighting both the practical benefits and the challenges of the GRF from the perspective of the pilots. It is recommended that future research include a more diverse sample of pilots from all regions and that technical studies be undertaken to compare runway surface conditions with aircraft performance under the GRF. This will provide a more complete understanding of the effectiveness of the GRF and identify areas for further improvement.
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    Öğe
    Integrating Unmanned Aerial Vehicles in Airspace: A Systematic Review
    (Maltepe Üniversitesi, 2024) Tuncal, Arif; Erol, Ufuk
    In this article, a comprehensive review of the integration of Unmanned Aerial Vehicles (UAVs) into shared airspace is presented. By applying a systematic review methodology, the study clarifies the main challenges, problems, and possible fixes related to safety, coordination, and regulatory frameworks. The results demonstrate the critical role that several elements play in supporting the safety of UAV integration. These elements include multi-layered airspace models, careful path planning, secure communication networks, Conflict Detection and Resolution (CDR) strategies, and strong regulations. The paper explores the potential of Human-in-the-loop Reinforcement Learning (HRL) and Reinforcement Learning (RL) algorithms to train UAVs for maneuvering through complex terrain and adapting to changing circumstances. The study's conclusions highlight the importance of ongoing research projects, stakeholder cooperation and continuous support for technology developments-all of which are necessary to ensure the safe and orderly integration of UAVs into airspace.

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