Sistem Prediksi Kecepatan Arus Kendaraan Berbasis UAV DJI Mini 4 Pro Dengan Visualisasi Heatmap

Fadhilah, Muhammad Syawal Ridho (2026) Sistem Prediksi Kecepatan Arus Kendaraan Berbasis UAV DJI Mini 4 Pro Dengan Visualisasi Heatmap. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kemacetan lalu lintas merupakan permasalahan umum di wilayah perkotaan yang memerlukan sistem pemantauan yang efektif dan fleksibel. Penelitian ini mengusulkan pemetaan kepadatan lalu lintas berbasis citra udara menggunakan wahana tanpa awak (UAV/drone). Data diperoleh dari rekaman video drone dengan sudut pandang bird’s-eye view, kemudian kendaraan dideteksi dan dilacak menggunakan metode computer vision berbasis deep learning. Posisi kendaraan pada citra dikonversi ke koordinat permukaan tanah melalui proses triangulasi dengan mempertimbangkan parameter kamera dan tinggi terbang drone. Selanjutnya, kepadatan lalu lintas dihitung berdasarkan jumlah kendaraan dalam radius tertentu dan divisualisasikan dalam bentuk peta panas (heatmap). Hasil penelitian diharapkan dapat memberikan gambaran tingkat kemacetan secara visual dan informatif sebagai alternatif pemantauan lalu lintas berbasis UAV.
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Traffic congestion is a common problem in urban areas, requiring an effective and flexible monitoring system. This study proposes aerial imagery-based traffic density mapping using unmanned aerial vehicles (UAVs/drones). Data is obtained from drone video footage from a bird’s-eye view. Vehicles are then detected and tracked using deep learning-based computer vision methods. Vehicle positions in the image are converted to ground coordinates through a triangulation process, taking into account camera parameters and the drone’s flight altitude. Next, traffic density is calculated based on the number of vehicles within a certain radius and visualized as a heatmap. The results are expected to provide a visual and informative overview of congestion levels as an alternative to UAV-based traffic monitoring.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	UAV, kepadatan lalu lintas, deteksi kendaraan, triangulasi, heatmap. UAV, traffic density, vehicle detection, triangulation, heatmap.
Subjects:	T Technology > T Technology (General) > T385 Visualization--Technique T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques. Image analysis--Data processing. T Technology > TR Photography > TR810 Aerial photography
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Muhammad Syawal Ridho Fadhilah
Date Deposited:	13 Jul 2026 02:31
Last Modified:	13 Jul 2026 02:31
URI:	http://repository.its.ac.id/id/eprint/134743

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