Deep-Learning-Based Prediction of High-Risk Taxi Drivers Using Wellness Data

Deep-Learning-Based Prediction of High-Risk Taxi Drivers Using Wellness Data

Background: Factors related to the wellness of taxi drivers are important for identifying high-risk drivers based on human factors. The purpose of this study is to predict high-risk taxi drivers based on a deep learning method by identifying the wellness of a driver, which reflects the personal char...

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Bibliographic Details
Main Authors: Seolyoung Lee, Jae Hun Kim, Jiwon Park, Cheol Oh, Gunwoo Lee
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:International Journal of Environmental Research and Public Health
Subjects:
artificial neural network
deep learning
traffic safety
taxi driver wellness
random forest method
Online Access:https://www.mdpi.com/1660-4601/17/24/9505

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