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Bus Stops Location and Bus Route Planning Using Mean Shift Clustering and Ant Colony in West Jakarta

机译:在西雅加地区使用平均移位聚类和蚂蚁殖民地的巴士站和巴士路线规划

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Traffic Jam has been a daily problem for people in Jakarta which is one of the busiest city in Indonesia up until now. Even though the official government has tried to reduce the impact of traffic issues by developing a new public transportation which takes up a lot of resources and time, it failed to diminish the problem. The actual concern to this problem actually lies in how people move between places in Jakarta where they always using their own vehicle like cars, and motorcycles that fill most of the street in Jakarta. Among much other public transportations that roams the street of Jakarta, Buses is believed to be an efficient transportation that can move many people at once. However, the location of the bus stop is now have moved to the middle of the main road, and its too far for the nearby residence to access to it. This paper proposes an optimal location of optimal bus stops in West Jakarta that is experimentally proven to have a maximal distance of 350 m. The optimal location is estimated by means of mean shift clustering method while the optimal routes are calculated using Ant Colony algorithm. The bus stops locations rate of error is 0.07% with overall route area of 32 km. Based on our experiments, we believe our proposed bus stop plan can be an interesting alternative to reduce traffic congestion in West Jakarta.
机译:交通堵塞是雅加达人民的日常问题,这是印度尼西亚最繁忙的城市之一。尽管官方政府已经试图通过制定新的公共交通工具来减少交通问题的影响,但占据了大量资源和时间,它未能减少问题。这个问题的实际关注实际上是人们如何在雅加达的地方移动,他们总是使用自己的车辆,如汽车,以及在雅加达的大部分街道上填补大部分街道的摩托车。在漫游雅加达街道的其他公共交通中,公共汽车被认为是一个有效的运输,可以立即移动很多人。然而,公交车站的位置现在已经搬到了主要道路的中间,并且在附近的住所可以进入它。本文提出了在西雅加达的最佳巴士站的最佳位置,这是经过实验证明的350米的最大距离。通过平均移位聚类方法估计最佳位置,而使用蚁群算法计算最佳路线。总线停止位置误差为0.07%,总线面积32公里。根据我们的实验,我们相信我们拟议的巴士停止计划可能是一个有趣的替代方案,以减少西雅加地区的交通拥堵。

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