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Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling
Joint Authors
Saha, Rajib
Tariq, Mosammat Tahnin
Hadi, Mohammed
Xiao, Yan
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
There has been an increasing interest in recent years in using clustering analysis for the identification of traffic patterns that are representative of traffic conditions in support of transportation system operations and management (TSMO); integrated corridor management; and analysis, modeling, and simulation (AMS).
However, there has been limited information to support agencies in their selection of the most appropriate clustering technique(s), associated parameters, the optimal number of clusters, clustering result analysis, and selecting observations that are representative of each cluster.
This paper investigates and compares the use of a number of existing clustering methods for traffic pattern identifications, considering the above.
These methods include the K-means, K-prototypes, K-medoids, four variations of the Hierarchical method, and the combination of Principal Component Analysis for mixed data (PCAmix) with K-means.
Among these methods, the K-prototypes and K-means with PCs produced the best results.
The paper then provides recommendations regarding conducting and utilizing the results of clustering analysis.
American Psychological Association (APA)
Saha, Rajib& Tariq, Mosammat Tahnin& Hadi, Mohammed& Xiao, Yan. 2019. Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169628
Modern Language Association (MLA)
Saha, Rajib…[et al.]. Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1169628
American Medical Association (AMA)
Saha, Rajib& Tariq, Mosammat Tahnin& Hadi, Mohammed& Xiao, Yan. Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169628
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169628