UGM Statistics Students Offer Traffic Solutions Using Monte Carlo Simulation

The innovative project “Optimizing Traffic Light Wait Times with Monte Carlo Simulation,” developed by three Statistics students from the Faculty of Mathematics and Natural Sciences (FMIPA) at Universitas Gadjah Mada (UGM), demonstrates how statistical methods can be applied to solve real-world urban traffic issues. This project won First Place at the National Statistics Olympiad Smatic 5.0, hosted by Universitas Negeri Jakarta on August 10, 2024, and gained recognition as a data-driven, measurable solution to reduce traffic congestion in major cities.

In their project, Mahardi, Rahma, and Daffa applied the Monte Carlo simulation method to optimize wait times at traffic lights, creating a more efficient traffic management system for drivers. This approach showcases that statistics is not just an abstract theory but a practical tool that can have a tangible impact on daily life. With their innovative strategy, the trio demonstrated how data and simulations can be integrated to produce more responsive and sustainable traffic policies.

The competition’s theme, “Statistics for Solving Contemporary Problems,” encouraged each team to analyze data critically and generate effective solutions. The UGM team was also challenged to present their ideas in a clear infographic format, making the solution not only analytically sound but also accessible to the broader public. Their mastery supports Sustainable Development Goal (SDG) 4, which emphasizes quality education and data literacy as essential skills to address global challenges.

The team, named ESTETIC, showcased a strong collaboration, blending analytical thinking with a practical approach to create impactful solutions. UGM’s solid statistical education provided a foundation for them to turn theory into innovative, practical solutions. Their success also supports SDG 9 on innovation and infrastructure development, demonstrating how robust research and the use of modern technology can help solve complex urban problems.

Through their work, Mahardi, Rahma, and Daffa hope to inspire other students to use statistics and data analysis in addressing real-life challenges in Indonesia. With more projects like this, the UGM Department of Mathematics continues to contribute to scientific and technological advancements that support sustainable development.

 

Keywords: Monte Carlo, Statistics, Student Achievement

Author: Mahardi et al

Editor: Endang Sulastri

Photo: Mahardi et al