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<note>Lalu lintas efisien dan aman adalah salah satu aspek penting dalam perencanaan dan pengelolaan infrastruktur transportasi perkotaan. Terutama terkait masalah pengelolaan kualitas indeks kelayakan jalan dan perhitungan kendaraan yang masih menggunakan cara manual yang rentan akan kesalahan. penelitian ini mengintegrasikan teknologi deteksi objek terkini, YOLOv5, dengan analisis data lalu lintas harian rata-rata untuk nantinya dapat digunakan dalam berbagai bidang jalan, seperti perencanaan dan perbaikan jalan. melibatkan implementasi model YOLOv5 pada rekaman video CCTV ATCS dishub Bandung untuk mendeteksi dan menghitung jumlah kendaraan secara real-time. Data deteksi tersebut digunakan untuk menganalisis kinerja persimpangan jalan dengan mengukur derajat kejenuhan dan panjang antrian, sehingga dapat diperoleh indeks tingkat pelayanan pada persimpangan tersebut.</note>
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