LAPSE:2020.0489
Published Article
LAPSE:2020.0489
Optimization Strategies for Dockless Bike Sharing Systems via two Algorithms of Closed Queuing Networks
May 22, 2020
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.
Record ID
Keywords
closed queuing network, dockless bike sharing system, flow equivalent server algorithm, mean value analysis, optimization strategy, sustainable transportation
Subject
Suggested Citation
Fan RN, Ma FQ, Li QL. Optimization Strategies for Dockless Bike Sharing Systems via two Algorithms of Closed Queuing Networks. (2020). LAPSE:2020.0489
Author Affiliations
Journal Name
Processes
Volume
8
Issue
3
Article Number
E345
Year
2020
Publication Date
2020-03-18
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8030345, Publication Type: Journal Article
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Published Article
LAPSE:2020.0489
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External Link
doi:10.3390/pr8030345
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Version History
[v1] (Original Submission)
May 22, 2020
Verified by curator on
May 22, 2020
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v1
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https://psecommunity.org/LAPSE:2020.0489
Original Submitter
Calvin Tsay
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