Model reduction for studying a Bike Sharing System as a closed queuing network

被引：1

作者：

Samet, Bacem ^{[1
,2
]}

Couffin, Florent ^{[1
]}

Zolghadri, Marc ^{[1
]}

Barkallah, Maher ^{[2
]}

Haddar, Mohamed ^{[2
]}

机构：

[1] Quartz Supmca, 3 Rue Fernand Hainaut, F-93400 St Ouen, France

[2] LA2MP ENIS, Route Soukra Km 4, Sfax 3038, Tunisia

来源：

PROCEEDINGS OF THE 8TH SWEDISH PRODUCTION SYMPOSIUM (SPS 2018) | 2018年 / 25卷

关键词：

Bike Sharing System; Performance Evaluation; Closed Queuing Network; Repetitive Service Random Destination; Entropy Maximization; Model reduction;

D O I：

10.1016/j.promfg.2018.06.055

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The users of a B2C Bike Sharing System are satisfied if they find always free bikes and free docks at the stations. Modeling such systems is challenging because they are large-scaled and characterized by their stochastic dynamic. To study the performance of a BSS, we rely on a queuing model solved by the Entropy Maximization. In this paper, we study the possibility of aggregating a number of stations in a single virtual station to reduce the complexity of the model and its resolution. Experiments are performed to qualify impacts of the model reduction on the accuracy of the obtained results. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：39 / 46

页数：8

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