p–ISSN: 2723 - 6609 e-ISSN: 2745-5254

Vol. 5, No. 10, October 2024 http://jist.publikasiindonesia.id/

Indonesian Journal of Social Technology, Vol. 5, No. 10, October 2024 4604

Modeling and Simulation of Vehicle Velocity-Density on Buah

Batu Road Using Decision Tree Regression

Ramadhan Aditya Ibrahim

, Putu Harry Gunawan

Universitas Telkom Bandung, Indonesia

*Correspondence

ABSTRACT

Keywords: simulation,

decision tree regression,

velocity-density.

This study aims to explore and simulate the traffic flow

model on Buah Batu Road using the velocity-density

function generated by the Decision Tree Regression method.

The model utilizes a macroscopic approach, specifically the

Lightill, Whitham, and Richards (LWR) model, which

considers vehicle interactions. Observational data were

collected directly from Buah Batu Road and processed to

produce a velocity-density function, which shows that

vehicle speed decreases as density increases, following a

non-linear but step-like pattern. The velocity function

generated by the Decision Tree Regression indicates that for

low density (ρ < 0.102), the average speed is predicted to be

around 3.681 to 4.551, while at high density (ρ > 0.273), the

speed drops to around 1.411 or lower. The simulation was

conducted on a 60-meter road segment with a total

simulation time of 5 minutes and a grid resolution of 300

points. At the beginning of the simulation, a peak density of

0.70 was recorded in the 15-25 meter segment, which then

shifted and decreased to 0.50 in the 30-50 meter segment by

the end. The results indicate that vehicle movement reduces

density and improves traffic flow. Thus, the Decision Tree

Regression method has proven effective in modeling and

simulating the velocity-density relationship to understand

traffic dynamics on Buah Batu Road.

Introduction

Traffic congestion tends to occur in areas with high activity intensity and extensive

land use (Putri & Herison, 2019). Traffic congestion is a common issue in major cities,

including Bandung face (Triwibisono & Aurachman, 2020). Bandung is a significant

center of economic and social activity in Indonesia. However, rapid economic growth and

an increase in the number of vehicles have led to worsening congestion in various parts

of the city. Bandung has approximately 2.2 million vehicles, consisting of 1.7 million

motorcycles and 500 thousand cars (Hakim & Guntur, 2017). This figure is almost

equivalent to the city's population, which reaches 2.4 million people ). This phenomenon