Optimizing Metro Station Locations and Line Layouts in Selangor using Genetic Algorithm Approach: Technical Report

Fuente: arXiv
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Autores principales: Lammaihri, Hasna, Erramla, Marwa, Ghani, Norjihan Abdul
Formato: Preprint
Publicado: 2024
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author Lammaihri, Hasna
Erramla, Marwa
Ghani, Norjihan Abdul
author_facet Lammaihri, Hasna
Erramla, Marwa
Ghani, Norjihan Abdul
contents This report presents an approach for optimizing metro station locations and line layouts in the area of Selangor, located in Malaysia. The project utilized the genetic algorithm in identifying the locations and lines layout. With population in Selangor projected to reach 7.3 million by 2024, the existing transport infrastructure is under increasing strain. This project addresses this challenge by optimizing the metro network to effectively cover the expanding population and minimize travel times. We employed a genetic algorithm to achieve these objectives, focusing on both the strategic placement of metro stations and the efficient layout of metro lines.
format Preprint
id arxiv_https___arxiv_org_abs_2411_03797
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimizing Metro Station Locations and Line Layouts in Selangor using Genetic Algorithm Approach: Technical Report
Lammaihri, Hasna
Erramla, Marwa
Ghani, Norjihan Abdul
Computers and Society
This report presents an approach for optimizing metro station locations and line layouts in the area of Selangor, located in Malaysia. The project utilized the genetic algorithm in identifying the locations and lines layout. With population in Selangor projected to reach 7.3 million by 2024, the existing transport infrastructure is under increasing strain. This project addresses this challenge by optimizing the metro network to effectively cover the expanding population and minimize travel times. We employed a genetic algorithm to achieve these objectives, focusing on both the strategic placement of metro stations and the efficient layout of metro lines.
title Optimizing Metro Station Locations and Line Layouts in Selangor using Genetic Algorithm Approach: Technical Report
topic Computers and Society
url https://arxiv.org/abs/2411.03797