Rerouting of busses along EDSA using Genetic Algorithm

Bernard G. Yasay, E. Dadios, Alexis M. Fillone
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引用次数: 1

Abstract

This paper introduce Genetic Algorithms (GA) as an optimization tools of finding the best alternate route of busses along EDSA. The study aims to reduce the number of busses travelling across the main road of EDSA, find the best station nodes to optimize the number of passenger in every travel and when the optimum number of passenger is achieved the higher profit of the bus company will follows. The strategy of travel approach is not just to find the alternate route but also use another strategy like transferring of passenger in other bus to optimize the continues travel system and availability of buses in the area with respect to the number of passenger in a given time.
基于遗传算法的EDSA总线改道
本文介绍了遗传算法(GA)作为一种优化工具,用于寻找EDSA沿线公交车的最佳备选路线。研究的目的是减少穿越EDSA主干道的公交车数量,找到最佳的车站节点来优化每次出行的乘客数量,当达到最优乘客数量时,公交公司的利润就会更高。出行方法的策略不仅仅是寻找替代路线,而是使用另一种策略,如将乘客转移到其他公共汽车上,以优化持续出行系统和给定时间内该地区的公共汽车可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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