A novel framework for the assessment of public-transport drivers' well-being and satisfaction based on physiological data
This paper presents a novel framework for data collection and fusion, for better analysis and assessment of public transportation (PT) drivers' well-being and satisfaction using physiological data. The goal of this framework, when combined with machine learning (ML) and discrete choice models (...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Journal of Public Transportation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1077291X25000141 |
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