Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System

Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenichi Nagamatsu, Katsuki Fujisawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


One of the most critical problems in bike-sharing services is a bicycle repositioning problem, which is how service providers must relocate their bicycles to maintain the quality of service. In this paper, we propose an end-to-end approach for the bike repositioning problem, which realizes the operator-feasible repositioning plan with cooperation among multiple trucks. Our proposed algorithm consists of three procedures. First, we predict the number of rented and returned bicycles at each station with a deep learning based on the bicycle usage information. Second, we determine the optimal number of bicycles to satisfy the availability of each station by solving an integer optimization problem. Finally, we solve the vehicle routing problem formulated as another integer optimization problem. Based on our algorithm, service operators can actually perform a relocation task based with a reference to the truck capacity, routes, and the number of bicycles to be loaded and unloaded. We demonstrate the applicability of our algorithm in the real world through numerical experiments on the real bicycle data of a Japanese company.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
EditorsChaitanya Baru, Jun Huan, Latifur Khan, Xiaohua Tony Hu, Ronay Ak, Yuanyuan Tian, Roger Barga, Carlo Zaniolo, Kisung Lee, Yanfang Fanny Ye
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781728108582
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Big Data, Big Data 2019 - Los Angeles, United States
Duration: Dec 9 2019Dec 12 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019


Conference2019 IEEE International Conference on Big Data, Big Data 2019
Country/TerritoryUnited States
CityLos Angeles

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management


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