Modeling Road Network in the Main Campus of Universiti Putra Malaysia, Serdang, Selangor, Using Graph Theory

Graph theory is a powerful mathematical tool that can be applied to solve many real-life problems including modeling traffic flows as directed graphs and analyzing them to propose solutions for congestion problems. This research aims to describe the road network of the north and south campuses of Universiti Putra Malaysia, Serdang, Selangor, as a directed graph, consisting of junctions as vertices and interchanges (or links) between junctions with other junctions as directed edges. This research also aims to determine the shortest path between a junction to all other junctions by using two shortest path algorithms, namely the Dijkstra and Floyd-Warshall algorithms, and consequently compare their efficiencies in producing the results. The algorithms are modified so that not only the length of the shortest path is given but also to identify the shortest path itself. Based on the findings of this research, we propose several strategies to minimize traffic congestion, especially during peak hours or convocation sessions, which would benefit both university and surrounding communities.

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Publication Details

Journal
Applied Mathematics and Computational Intelligence (AMCI)
Published
2025-06-17
DOI
https://doi.org/10.58915/amci.v14i2.2160
Primary Topic
Web Applications and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling Road Network in the Main Campus of Universiti Putra Malaysia, Serdang, Selangor, Using Graph Theory

Athirah Nawawi, Tianan Fang, Siti Hasana Sapar
Applied Mathematics and Computational Intelligence (AMCI)
Web Applications and Data Management
article

Modeling Road Network in the Main Campus of Universiti Putra Malaysia, Serdang, Selangor, Using Graph Theory

Athirah Nawawi, Tianan Fang, Siti Hasana Sapar
article en

Abstract

Graph theory is a powerful mathematical tool that can be applied to solve many real-life problems including modeling traffic flows as directed graphs and analyzing them to propose solutions for congestion problems. This research aims to describe the road network of the north and south campuses of Universiti Putra Malaysia, Serdang, Selangor, as a directed graph, consisting of junctions as vertices and interchanges (or links) between junctions with other junctions as directed edges. This research also aims to determine the shortest path between a junction to all other junctions by using two shortest path algorithms, namely the Dijkstra and Floyd-Warshall algorithms, and consequently compare their efficiencies in producing the results. The algorithms are modified so that not only the length of the shortest path is given but also to identify the shortest path itself. Based on the findings of this research, we propose several strategies to minimize traffic congestion, especially during peak hours or convocation sessions, which would benefit both university and surrounding communities.

Applied Mathematics and Computational Intelligence (AMCI)Vol. 14(2)
Universiti Putra Malaysia (MY)
Openalex Percentile: Top 76%
Web Applications and Data Management
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Modeling Road Network in the Main Campus of Universiti Putra Malaysia, Serdang, Selangor, Using Graph Theory — Athirah Nawawi, Tianan Fang, et al. · Applied Mathematics and Computational Intelligence (AMCI) (2025) | TGRS Research Map | TGRS