The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets

Author:

Xu Chengcheng,Ji Junyi,Liu Pan

Funder

National Natural Science Foundation of China

Projects of International Cooperation and Exchange of the National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference42 articles.

1. Abadi, M., Agarwal, A., Barham, P., 2016. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467.

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3. Exploring gendered cycling behaviours within a large-scale behavioural dataset;Beecham;Transport. Plann. Technol.,2014

4. A modeling framework for the dynamic management of free-floating bike-sharing systems;Caggiani;Transport. Res. Part C: Emerg. Technol.,2018

5. Factors influencing the choice of shared bicycles and shared electric bikes in Beijing;Campbell;Transp. Res. Part C,2016

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