Short-term demand forecasting for bike sharing system based on machine learning-Reference-Cited by-同舟云学术

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Short-term demand forecasting for bike sharing system based on machine learning

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 5th International Conference on Transportation Information and Safety (ICTIS)
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Author:

Yang Hongtai,Zhang Xundi,Zhong Lizhi,Li Shiyuan,Zhang Xiaojia,Hu Jun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8877928/8883429/08883732.pdf?arnumber=8883732

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bicycle Demand Prediction to Optimize the Rebalancing of a Bike Sharing System in Lisbon;2022 26th International Conference Information Visualisation (IV);2022-07

2. Analysis and Prediction of Bikesharing Traffic Flow – Citi Bike, New York;2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS);2021-06-16

3. Deep Learning for Short-Term Prediction of Available Bikes on Bike-Sharing Stations;IEEE Access;2021

4. Forecasting usage and bike distribution of dockless bike‐sharing using journey data;IET Intelligent Transport Systems;2020-12

5. Spatio-temporal Clustering-based Parking Area Division of Dockless Shared Bicycles;2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE);2020-10

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