Capstone internship at the Samsung Research Philippines with a mini-study on : optimizing traffic flow : enhancing time allocations of a traffic light systems in an intersection in San Pablo City using gradient descent algorithm

Date

2025

Adviser

Ma. Grechelle Lyn D. Perez

Principal

Mabel S. Buela

Abstract

Traffic congestion in San Pablo City, particularly along intersections on Maharlika Highway, has worsened due to the rapid urbanization and population growth. Inefficient traffic signal timings have led to longer travel times, increased accident risks, and reduced economic productivity. While various efforts have been made to improve traffic flow, there is still a limited number of studies which explore the potential of an algorithmic solution that is suitable for local conditions. This research applies Gradient Descent Algorithm to optimize green light time allocations in the selected intersection to improve traffic flow. By using actual traffic data and simulation modeling, signal timings were iteratively adjusted to minimize the average travel time of vehicles passing through the intersection. The results from the simulation revealed a measurable improvement in traffic movement, with optimized configurations significantly reducing average travel time per vehicle. These improvements demonstrate the potential of data-driven traffic control systems in mitigating traffic congestion. The study also contributes to valuable insight into the practical application of mathematical optimization in urban traffic management. Its findings may serve as a reference for the local government units seeking efficiency and sustainable transport strategies.

Language

English

Location

UP Rural High School

Notes

To access this capstone, please contact the UP Rural High School Library at uprhslibrary.uplb@up.edu.ph. You may also visit the library in person, provided you secure prior confirmation from the librarian. We will be happy to assist you.

Document Type

Capstone

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