车位优化:以印度理工大学沙阿拉姆分校的Dataran Mawar为例

K. Abdullah, N. Kamis, N. F. Azahar, Siti Faiross Shariff, Zairina Che Musa
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引用次数: 10

摘要

近年来,随着经济的增长和生活的需要,汽车的数量也在增加。在人口拥挤的地区,停车问题是我们不得不面对的关键问题之一。校园区也面临着同样的问题,教职员工、学生和访客的停车位非常有限。因此,我们提出了一个基本的数学模型,以使停车位的数量尽可能多。我们考虑了垂直停车、平行停车和对角停车三种类型的停车设计,每种设计分别提出了一种基本的数学算法。通过比较这三种不同的设计,确定了最适合Dataran Mawar, UiTM Shah Alam某区域的设计,并将所选设计组合在一起获得最大停车位数量。这些算法可作为其他拥堵区域停车空间优化的备选模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of the parking spaces: A case study of Dataran Mawar, UiTM Shah Alam
Recently, the numbers of cars have been increased collateral with the economic growth and the needs of living. Parking problem is one of the crucial problems that we have to face in the overcrowding area. Campus area faced the same problem where the parking spaces are very limited to the staff, students and visitors. Therefore, we proposed a basic mathematical model to make an improvement on the number of parking spaces as maximum as possible. We considered three types of parking designs which are perpendicular parking, parallel parking and diagonal (angle) parking where each design proposed a basic mathematical algorithm respectively. By comparing these three different designs, the most suitable design for certain area at Dataran Mawar, UiTM Shah Alam is identified and the maximum numbers of parking spaces are obtained when the selected designs are combined. These algorithms can be used as an alternative model in optimizing the parking spaces in other congested area.
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