Dockless Shared Bicycle Flow Control by Using Kernel Density Estimation Based Clustering

Dockless Shared Bicycle Flow Control by Using Kernel Density Estimation Based Clustering

Since dockless sharing bicycles have become an indispensable means of everyday life for urban residents, how to effectively control the supply and demand balance of bikes has become an important issue. This study aims to apply Kernel Density Estimation based (KDE-based) clustering analysis and a th...

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Bibliographic Details
Main Authors: Shang-Yuan Chen, Tzu-Tien Chen
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2021-04-01
Series:Advances in Technology Innovation
Subjects:
classification
clustering
unsupervised neural networks learning
R language
choropleth map
Online Access:https://ojs.imeti.org/index.php/AITI/article/view/6666

Internet

https://ojs.imeti.org/index.php/AITI/article/view/6666

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