Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract)

Authors

  • Zichao Deng Nanyang Technological University
  • Anqi Tu Nanyang Technological University
  • Zelei Liu Nanyang Technological University
  • Han Yu Nanyang Technological University

DOI:

https://doi.org/10.1609/aaai.v34i10.7159

Abstract

Bike sharing systems are popular worldwide now. However, these systems are facing a problem - rebalancing of shareable bikes among different docking stations. To address this challenge, we propose an approach for the spatial-temporal rebalancing of shareable bikes which allows domain experts to optimize the rebalancing operation with their knowledge and preferences without relying on learning by trial-and-error.

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Published

2020-04-03

How to Cite

Deng, Z., Tu, A., Liu, Z., & Yu, H. (2020). Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13775-13776. https://doi.org/10.1609/aaai.v34i10.7159

Issue

Vol. 34 No. 10: Issue 10: AAAI-20 Student Tracks

Section

Student Abstract Track