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Open AccessArticle

Optimization Strategies for Dockless Bike Sharing Systems via two Algorithms of Closed Queuing Networks

by Rui-Na Fan 1,*, Fan-Qi Ma 1 and Quan-Lin Li 2
1
School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
2
School of Economics and Management, Beijing University of Technology, Beijing 100124, China
*
Author to whom correspondence should be addressed.
Processes 2020, 8(3), 345; https://doi.org/10.3390/pr8030345
Received: 19 February 2020 / Revised: 8 March 2020 / Accepted: 12 March 2020 / Published: 18 March 2020
(This article belongs to the Special Issue Optimization Algorithms Applied to Sustainable Production Processes)
The dockless bike sharing system (DBSS) has been globally adopted as a sustainable transportation system. Due to the robustness and tractability of the closed queuing network (CQN), it is a well-behaved method to model DBSSs. In this paper, we view DBSSs as CQNs and use the mean value analysis (MVA) algorithm to calculate a small size DBSS and the flow equivalent server (FES) algorithm to calculate the larger size DBSS. This is the first time that the FES algorithm is used to study the DBSS, by which the CQN can be divided into different subnetworks. A parking region and its downlink roads are viewed as a subnetwork, so the computation of CQN is reduced greatly. Based on the computation results of the two algorithms, we propose two optimization functions for determining the optimal fleet size and repositioning flow, respectively. At last, we provide numerical experiments to verify the two algorithms and illustrate the optimal fleet size and repositioning flow. This computation framework can also be used to analyze other on-demand transportation networks. View Full-Text
Keywords: sustainable transportation; dockless bike sharing system; mean value analysis; closed queuing network; flow equivalent server algorithm; optimization strategy sustainable transportation; dockless bike sharing system; mean value analysis; closed queuing network; flow equivalent server algorithm; optimization strategy
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Fan, R.-N.; Ma, F.-Q.; Li, Q.-L. Optimization Strategies for Dockless Bike Sharing Systems via two Algorithms of Closed Queuing Networks. Processes 2020, 8, 345.

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