Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning

•This research explores factors influencing mobile phone use in naturalistic driving.•A smartphone application with 6 feedback phases was the basis for data collection.•Explainable XGBoost tree ensembles with SHAP values were trained.•Higher total trip distance, number of tickets & feedback decr...

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Vydané v:	Accident analysis and prevention Ročník 181; s. 106936
Hlavní autori:	Ziakopoulos, Apostolos, Kontaxi, Armira, Yannis, George
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 01.03.2023
Predmet:	Accidents, Traffic Automobile Driving Cell Phone Cell Phone Use Distracted Driving Driver feedback Explainable machine learning Humans Machine Learning Mobile phone use Naturalistic driving SHAP values XGBoost Naturalistic driving Mobile phone use Driver feedback XGBoost SHAP values Explainable machine learning
ISSN:	0001-4575, 1879-2057, 1879-2057
On-line prístup:	Získať plný text
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