Data-Driven Estimation of a Driving Safety Tolerance Zone Using Imbalanced Machine Learning

Predicting driving behavior and crash risk in real-time is a problem that has been heavily researched in the past years. Although in-vehicle interventions and gamification features in post-trip dashboards have emerged, the connection between real-time driving behavior prediction and the triggering o...

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Detalles Bibliográficos
Autores principales: Garefalakis, Thodoris, Katrakazas, Christos, Yannis, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319394/
https://www.ncbi.nlm.nih.gov/pubmed/35890990
http://dx.doi.org/10.3390/s22145309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319394/
https://www.ncbi.nlm.nih.gov/pubmed/35890990
http://dx.doi.org/10.3390/s22145309

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