Feature extraction and clustering analysis of highway congestion

Tin T. Nguyen
Tin T. Nguyen
Panchamy Krishnakumari
Panchamy Krishnakumari

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, pp. 238-258, 2019.

Cited by: 0|Views13

Abstract:

Classification of congestion patterns is important in many areas in traffic planning and management, ranging from policy appraisal, database design, to prediction and real-time control. One of the key constraints in applying machine learning techniques for classification is the availability of sufficient data (traffic patterns) with clear...More

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