A Bilevel Programming Model and Algorithm for the Static Bike Repositioning Problem
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-02
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
In this paper, by taking the outsourcing transportation mode into account, a bilevel programming model is proposed to formulate the static bike repositioning (SBR) problem, which can be used to determine the number of bikes loaded and unloaded at each station and the optimal truck routes in bike sharing systems (BSS).
The upper-level BSS providers determine the optimal loading and unloading quantities at stations to minimize the total penalties.
The lower-level truck owner pursues the minimum transportation route cost.
An iterated local search and tabu search are developed to solve the model.
Computational tests on a set of instances from 20 to 200 bikes demonstrate the effectiveness of the model and algorithms proposed, together with some insightful findings.
American Psychological Association (APA)
Tang, Qiong& Fu, Zhuo& Qiu, Meng. 2019. A Bilevel Programming Model and Algorithm for the Static Bike Repositioning Problem. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1170231
Modern Language Association (MLA)
Tang, Qiong…[et al.]. A Bilevel Programming Model and Algorithm for the Static Bike Repositioning Problem. Journal of Advanced Transportation No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1170231
American Medical Association (AMA)
Tang, Qiong& Fu, Zhuo& Qiu, Meng. A Bilevel Programming Model and Algorithm for the Static Bike Repositioning Problem. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1170231
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170231