Enhancing parking and traffic efficiency through discrete event simulation: A case study at Universiti Malaysia Pahang Al-Sultan Abdullah
DOI:
https://doi.org/10.15282/ijim.20.2.2026.11962Abstract
University campuses, such as University Malaysia Pahang Al-Sultan Abdullah face recurring challenges in managing traffic and parking due to increasing vehicle numbers and limited infrastructure. This study addresses these issues by employing Discrete Event Simulation to evaluate and enhance parking and traffic efficiency at Block Z, University Malaysia Pahang Al-Sultan Abdullah, Gambang Campus. It aims to identify the primary problems of insufficient parking spaces and traffic congestion that led to significant delays and inconvenience for students, staff, and visitors. The objectives of this study are to develop a simulation model of the current parking and traffic system, assess its efficiency, and recommend improvements. The ARENA software was used to run several simulation scenarios that integrated input gathered through observations, interviews, and records from University Malaysia Pahang Al-Sultan Abdullah Holding. The simulation performance was evaluated through metrics such as waiting times, parking utilisation, and vehicle flow. Validation and verification techniques, including Mean Absolute Percentage Error and face validation, were done to ensure the model's accuracy and reliability. Key findings suggest that reorganising parking layouts and adding parking spaces closer to Block Z significantly reduce waiting times and traffic congestion. Scenario 2, involving eight additional organised parking spaces near Block Z, proved most effective, achieving a reduction in waiting times by 75% and eliminating parking shortages. The study highlights the value of Discrete Event Simulation as a decision-making tool for optimising campus infrastructure, offering practical insights and scalable solutions for University Malaysia Pahang Al-Sultan Abdullah and similar institutions.
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