İHA'LAR İLE TRAFİK İZLEME VE AKILLI ULAŞIM: 2020 SONRASI GELİŞMELER VE UYGULAMALAR

Yıl 2025, Sayı: 2, 236 - 258, 29.06.2025

Busra Biskin , Tuğçe İnağ

Öz

İnsansız hava araçları (İHA’lar), trafik izleme ve akıllı ulaşım sistemlerinde önemli bir teknolojik araç olarak öne çıkmaktadır. Yüksek manevra kabiliyeti, operasyonel esneklik ve gerçek zamanlı veri toplama kapasiteleri sayesinde İHA’lar, ulaşım uygulamalarında etkin şekilde kullanılmaktadır. Bu çalışma, 2020 sonrası dönemde gerçekleştirilen İHA tabanlı trafik izleme ve akıllı ulaşım sistemlerine ilişkin literatürü incelemekte; görüntü işleme, yapay zekâ ve sensör füzyonu gibi teknolojilerle entegrasyon süreçlerini ele almaktadır. COVID-19 sonrası dönemde artan temasız ve uyarlanabilir izleme ihtiyacı, İHA’ların etkinliğini artırmıştır. Sabit kamera ve araç tabanlı sistemlere kıyasla daha geniş alanları kapsayabilen, esnek çözümler sunan ve altyapı maliyetlerini azaltan İHA’lar, trafik yönetiminde stratejik roller üstlenmektedir. Çalışma ayrıca Türkiye bağlamında değerlendirmeler yaparak, ulusal stratejilere yönelik politika önerileri ve teknik tavsiyelerde bulunmaktadır.

Anahtar Kelimeler

İnsansız Hava Araçları , Trafik İzleme , Akıllı Ulaşım Sistemleri , Görüntü İşleme , Yapay Zekâ , Trafik Yönetimi

TRAFFIC MONITORING AND INTELLIGENT TRANSPORTATION WITH UAVS: POST-2020 DEVELOPMENTS AND APPLICATIONS

Öz

Unmanned Aerial Vehicles (UAVs) have emerged as a key technology in traffic monitoring and intelligent transportation systems. Their agility, operational flexibility, and real-time high-resolution data collection capabilities suit them for various transportation applications. This study reviews UAV-based traffic monitoring and intelligent transportation research conducted since 2020, focusing on the integration of image processing, artificial intelligence, and sensor fusion technologies. The increasing demand for contactless and adaptive monitoring solutions in the post-COVID-19 era has further highlighted the advantages of UAVs. Unlike stationary or vehicle-mounted systems, UAVs can efficiently cover large areas, adapt to dynamic conditions, and reduce infrastructure costs. The study also provides policy recommendations and technical guidance for the effective integration of UAVs into national traffic management strategies, with a specific emphasis on the Turkiye context.

Anahtar Kelimeler

Unmanned Aerial Vehicles , Traffic Monitoring , Intelligent Transportation Systems , Image Processing , Artificial Intelligence , Traffic Management

Kaynakça

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