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

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

<p dir="ltr">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 Communica...

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Bibliographic Details
Main Author: Aya Hasan Alkhereibi (17151070) (author)
Other Authors: Shahram Tahmasseby (14158965) (author), Semira Mohammed (15294167) (author), Deepti Muley (6579293) (author)
Published: 2021
Subjects:
Commerce, management, tourism and services
Transportation, logistics and supply chains
Information and computing sciences
Data management and data science
Machine learning
Travel behavior
Transportation planning
Activity-based model
Blue collar travel diary
Travel Pattern
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