Date of Publication
2025
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Mathematics with specialization in Business Applications
Subject Categories
Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics Department
Thesis Advisor
Daryl Q. Granario
Defense Panel Chair
Noel T. Fortun
Defense Panel Member
Jose Tristan F. Reyes
Abstract/Summary
In 2024, Manila ranked 14th among 501 cities in 62 countries around the world in terms of traffic index, which shows the severity of traffic congestion in the country. Previous studies on Philippine road traffic used tools from statistics and operations research. In this study, the researchers use partial differential equations to model road traffic flow. A multi-class macroscopic model using Lagrangian coordinates is introduced, and vehicle classes are defined using different speed functions that characterize the major vehicle types on Philippine roads: motorcycles, cars, jeepneys, and buses. The model is solved numerically, and sample simulations are provided.
Abstract Format
html
Language
English
Format
Electronic
Keywords
Traffic engineering--Philippines; Traffic flow--Philippines
Recommended Citation
Wang, X., & Asuncion, B. A. (2025). A multi-class macroscopic flow model of Philippine road traffic. Retrieved from https://animorepository.dlsu.edu.ph/etdb_math/54
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Embargo Period
8-11-2025
