Blue collar laborers’ travel pattern recognition: Machine learning classifier approach

This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transportation and Communication (MoTC) in Qatar was used...

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Bibliographic Details
Main Authors: Aya Hasan Alkhereibi, Shahram Tahmasseby, Semira Mohammed, Deepti Muley
Format: article
Language:EN
Published: Elsevier 2021
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Online Access:https://doaj.org/article/d6eaea27e6b84cdeab7c61f8a5e8d0ad
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