https://dpcscs.delapress.com/index.php/dpcscs/issue/feedDela Press Book Series: Computer Science2026-08-31T08:23:12+00:00Anna Muhlbacha.muhlbach@delapress.comOpen Journal Systems<p>Welcome to the <em>Dela Press Book Series: Computer Science</em> — an Open Access, peer-reviewed publication focused on cutting-edge research in computer science, information technology, and their applications across various disciplines. The series provides an international platform for sharing innovative studies, practical solutions, and theoretical advances that drive progress in digital technologies, data analysis, artificial intelligence, and computational methods. <a href="http://dpcscs.delapress.com/index.php/dpcscs/about">Read more</a></p>https://dpcscs.delapress.com/index.php/dpcscs/article/view/228FORECASTING INTERNATIONAL AIR TRAFFIC USING REAL-TIME FLIGHT DATA: A CASE STUDY OF KYRGYZSTAN AIRPORTS2026-08-31T08:23:12+00:00Gulnarida Rasulbekovna Zhalilovazhalilovagulnarida@gmail.comAliima Torozhanovna Mamatkasymovazhalilovagulnarida@gmail.comElnura Musaevna Jusupovazhalilovagulnarida@gmail.comSaltanat Toronbekovna Omorovazhalilovagulnarida@gmail.comMairam Kudaiberdi kyzyzhalilovagulnarida@gmail.com<p><span style="font-weight: 400;">This article examines the problem of forecasting air traffic at international airports in Kyrgyzstan using time series analysis. Bishkek and Osh airports were chosen as the study sites. Initial data on daily aircraft arrivals and departures was obtained from the FlightAware platform. Data collection, cleaning, and preprocessing were performed, including timestamp conversion and missing observation recovery. The Facebook Prophet model, which takes into account trend and seasonal components of the time series, was used for forecasting. Data for the period 2019–2025 was analyzed, allowing us to identify the impact of the COVID-19 pandemic on the aviation industry, the specifics of air travel recovery, and the presence of stable annual seasonality. Based on the constructed model, a forecast of air traffic for 2026 was obtained.</span></p>2026-08-31T00:00:00+00:00Copyright (c) 2026 Gulnarida Rasulbekovna Zhalilova, Aliima Torozhanovna Mamatkasymova, Elnura Musaevna Jusupova, Saltanat Toronbekovna Omorova, Mairam Kudaiberdi kyzy