Model dan Simulasi Kecepatan-Kepadatan Kendaraan dengan Hambatan menggunakan Regresi Linier Berganda - Dalam bentuk pengganti sidang - Artikel Jurnal

KIAN NAILAIZZA

Informasi Umum

Kode

24.04.5346

Klasifikasi

000 - General Works

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Tugas Akhir

Dilihat

126 kali

Informasi Lainnya

Abstraksi

This study aims to explore and simulate a traffic flow model using a velocity-density function derived from a multiple linear regression method. The traffic flow is characterized by a macroscopic model, specifically the Lightill, Whitham, and Richards (LWR) model, which accounts for vehicle interactions. Data for this study was collected from direct observations on Jalan Raya Bojongsoang in Bandung, Indonesia. The results collected were T-in, T-out, Volume, Maximum Volume, Crossing Vehicle Obstacles, and Large Vehicle Obstacles. Then, the data was transferred into .csv format to facilitate data processing. Data from direct observation results are T-in, T-out, Volume, Maximum Volume, Crossing Vehicle Obstacles, and Large Vehicle Obstacles. Then, the data is transferred into .csv format to facilitate data processing. A model that incorporates density (?), crossing vehicle obstacles (x1), and large vehicle obstacles (x2) has the highest R2 value of 0.638. This indicates that it explains 63.8% of the variance in the velocity data. This model performs the best overall, as indicated by the highest R2 value and the lowest RMSE values for training and test datasets, and will be used to obtain the velocity function. The velocity-density function is approximated by the multiple linear regression equation v(?, x1, x2) = 4.4023 - 6.549? ? 0.1680x1 ? 0.223x2. Furthermore, numerical simulations using the Lax-Wendroff method with a final time T = 60 seconds demonstrate notable differences in traffic flow dynamics.