Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract)
DOI:
https://doi.org/10.1609/aaai.v34i10.7159Abstract
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
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Student Abstract Track