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Minimal Invasive Redistribution Algorithms for Balancing of Bike Sharing Systems through Customer Cooperation


B. Chatton

Semester Thesis, FS15 (10455)

In recent years, public bike-sharing schemes (PBS) have become a worldwide trend and many cities now provide rental bikes as an alternative mean of transportation. PBS are however usually unbalanced, with stations running full or empty, which forces PBS operators to use trucks to manually relocate bikes. Previous studies carried out at IfA have shown that PBS can be balanced in an alterna- tive way through customer cooperation. However, the proposed algorithm su ers from the drawback that almost all customers need to participate in order to achieve high service levels. In this project, we developed other distribution algorithms that were able to decrease the amount of customers required to cooperate by two thirds, while maintaining a similarly high service level.

Supervisors: Xiaojing Zhang, Angelos Georghiou, John Lygeros


Type of Publication:

(13)Semester/Bachelor Thesis

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2015:IFA_5237
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