Commuting Pattern Recognition Using a Systematic Cluster Framework

Commuting Pattern Recognition Using a Systematic Cluster Framework

Identifying commuting patterns for an urban network is important for various traffic applications (e.g., traffic demand management). Some studies, such as the gravity models, urban-system-model, K-means clustering, have provided insights into the investigation of commuting pattern recognition. Howev...

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Bibliographic Details
Main Authors: Rongrong Hong, Wenming Rao, Dong Zhou, Chengchuan An, Zhenbo Lu, Jingxin Xia
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sustainability
Subjects:
commuting pattern
commuter feature extraction
hierarchical clustering
automatic license plate recognition data
Online Access:https://www.mdpi.com/2071-1050/12/5/1764

Internet

https://www.mdpi.com/2071-1050/12/5/1764

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