[1]赵斌,谢仁雄.共享自行车分区域动态调度优化[J].湖北工业大学学报,2023,(2):116-120.
　ZHAO Bin,XIE Renxiong.Dynamic Scheduling Optimization of Shared Bicycles[JZ]in Different Regions[J].,2023,(2):116-120.
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共享自行车分区域动态调度优化()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2023年第2期
页码:
116-120
栏目:
出版日期:
2023-04-30

文章信息/Info

Title:
Dynamic Scheduling Optimization of Shared Bicycles [JZ]in Different Regions
文章编号:
1003-4684(2023)02-0116-05
作者:
 赵斌;  谢仁雄
 湖北工业大学理学院，湖北 武汉 430068
Author(s):
ZHAO Bin;  XIE Renxiong
School of Sciences, Hubei Univ. of Tech., Wuhan 430068, China
关键词:
 ; 共享自行车' target="_blank" rel="external"> FONT-FAMILY: 宋体">共享自行车;  模糊平均聚类;  转移概率;  蒙特卡洛模拟
Keywords:
shared bike' target="_blank" rel="external"> FONT-FAMILY: 宋体">shared bike;  fuzzy average clustering;  transfer probability;  Monte Carlo simulation ' target="_blank" rel="external"> FONT-FAMILY: 宋体">
分类号:
TP391.4
文献标志码:
A
摘要:
 为合理安排共享自行车的摆放，提高使用效率，根据共享自行车随机流动这一特点，运用考虑随时间变动的模糊平均聚类将使用区域分为三类区域，并使用马尔科夫转移矩阵计算各个区域的转移概率。在此基础上改变三个区域的摆放方式，通过蒙特卡洛方法模拟两种摆放方式，结果发现不同比例的调配方式，使用效率差异明显，改善比例后的摆放方式在总体上能显著提高共享自行车的使用效率。当各区域使用人员相同，共享自行车数量不同时，最大使用效率的阈值为20；区域共享自行车相同，使用人数不同时，最大使用效率的阈值为35。
Abstract:
In recent years, the concept of sharing continues to maintain a high fever. The emergence of shared bikes has effectively solved the problem of the last kilometer of travel, but also greatly improved people’s travel efficiency. However, we often encounter situations that we cannot find shared bikes or a lot of shared bikes unoccupied. It is aimed to reasonably arrange the placement of shared bikes, and improve the use efficiency of shared bikes. According to the characteristics of shared bicycle random flow, using the fuzzy average clustering over time will be divided into three categories, and Markov transfer matrix will be used to calculate the transfer probability of each area, on the basis of this change the way of the three areas, through the Monte Carlo method will be used to simulate the best display way. The results show that the use efficiency of different proportions is obviously different, and the placement mode after improving the proportion can significantly improve the use efficiency of shared bikes. When the users of the area are different, the maximum threshold of use efficiency is 20; the same regional shared bikes, and the threshold of the maximum use efficiency is 35.

参考文献/References:

 

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备注/Memo

备注/Memo:

［收稿日期］ 2022-11-15

［第一作者］ 赵斌(1975-)，男，湖北十堰人，理学博士，湖北工业大学教授，研究方向为应用统计学，数据科学与决策，金融统计，质量控制与管理，生物数学

更新日期/Last Update: 2023-07-03