Indicator of Highway Conditions on Traffic Density Levels

Abstract

Traffic problems, especially congestion which is the impact of high levels of traffic density, are problems that have not been properly resolved, especially in big cities in Indonesia. In this article, 7 features of road conditions are proposed on the level of traffic density. These features include the number of vehicles, the average speed of the vehicle, the area of the main road, the length of traffic that has been determined, the duration of traffic congestion, and the time of traffic congestion. Determining the level of traffic density can be determined by utilizing the MCDM hybrid technique to produce information that can be used to support decision-making in traffic management or other policies such as formulating policies on the buying and selling of private vehicles. The number of indicators related to computer vision for presenting information on the level of traffic density requires a large amount of time and memory. Besides that, the perception of a decision maker in determining priority weights also influences the results of the information on the level of traffic density.

Simulasi Deteksi Dan Hitung Jumlah Kendaraan Menggunakan Yolov4 Pada CCTV Persimpangan Jalan Raya

“…Di Indonesia, tingkat pembelian kendaraan bermotor cukup tinggi, yang sejalan dengan pertumbuhan ekonomi yang pesat. Akibatnya, terjadi peningkatan jumlah pengguna jalan dan meningkatnya kemacetan [1].Strategi untuk mengatasi masalah lalu lintas harus dilaksanakan melalui manajemen dan rekayasa lalu lintas [2]. Kondisi lalu lintas di sekitar persimpangan Gajah Mada, Kota Mojokerto, Jl di bawah pengawasan menjadi tidak menentu dan sudah mulai terdapat kemacetan lalu lintas sesekali, sehingga memerlukan manajemen dan rekayasa lalu lintas.…”