Dynamic bicycle scheduling problem based on short-term demand prediction
Author:
Funder
Chinese National Science Foundation
Projects of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-018-1360-6.pdf
Reference30 articles.
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3. Breiman L (2001) Random forest. Mach Learn 45:5–32
4. Chen LB, Zhang DQ, Wang L, Yang DQ, Ma XJ, et al (2016) Dynamic cluster-based over-demand prediction in bike sharing systems. ACM, pp 841–852. https://doi.org/10.1145/2971648.2971652
5. Chen PC, Hsieh HY, Sigalingging XK, Chen YR, Leu JS (2017) Prediction of station level demand in a bike sharing system using recurrent neural networks. In: IEEE Vehicular Technology Conference, pp 1–5
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