Please use this identifier to cite or link to this item: https://hdl.handle.net/1783.1/81203
Dynamic Cluster-Based Over-Demand Prediction in Bike Sharing Systems
| Author |
Chen, Longbiao
Zhang, Daqing Wang, Leye Yang, Dingqi Ma, Xiaojuan 
Li, Shijian Wu, Zhaohui Pan, Gang Nguyen, Thi Mai Trang Jakubowicz, Jeremie |
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| Issue Date | 2016 | ||||||||
| Source | UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 2016, p. 841-852 | ||||||||
| Abstract | Bike sharing is booming globally as a green transportation mode, but the occurrence of over-demand stations that have no bikes or docks available greatly affects user experiences. Directly predicting individual over-demand stations to carry out preventive measures is difficult, since the bike usage pattern of a station is highly dynamic and context dependent. In addition, the fact that bike usage pattern is affected not only by common contextual factors (e.g., time and weather) but also by opportunistic contextual factors (e.g., social and traffic events) poses a great challenge. To address these issues, we propose a dynamic cluster-based framework for over-demand prediction. Depending on the context, we construct a weighted correlation network to model the relationship among bike stations, and dynamically group neighboring stations with similar bike usage patterns into clusters. We then adopt Monte Carlo simulation to predict the over-demand probability of each cluster. Evaluation results using real-world data from New York City and Washington, D.C. show that our framework accurately predicts over-demand clusters and outperforms the baseline methods significantly. © 2016 ACM. | ||||||||
| Note |
2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016; Heidelberg; Germany; 12 September 2016 through 16 September 2016; Code 123731 |
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| Conference | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, DEU, 12 - 16 September 2016, Code 123731 | ||||||||
| Subject | |||||||||
| DOI | 10.1145/2971648.2971652 | ||||||||
| ISBN | 9781450344616 | ||||||||
| Language | English |
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| Type | Conference paper | ||||||||
| Access |
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