Traffic Analysis at the Intersection in front of Kasetsart University Kamphaeng Saen Campus

Abstract

The intersection in front of Kasetsart University, Kamphaeng Saen Campus, experiences heavy traffic, particularly during rush hours. The primary cause of congestion at this location is the mismatch between traffic volume and traffic signal timing. This study aims to analyze traffic signal cycles, identify the causes of congestion, and explore the application of the SUMO (Simulation of Urban Mobility) program in traffic modeling. Real-world traffic volume data and signal timing cycles were used to create a simulation model in SUMO to analyze traffic conditions. The study compares the existing traffic signal cycles, obtained through field surveys, with redesigned signal cycles based on Webster's method. Three performance indicators were used for comparison: average travel time, average waiting time, and average speed. The results indicate that the redesigned traffic signal cycles outperform the existing ones. It was found that the redesigned signal cycles helped reduce travel time and improve overall traffic flow.