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 …
researched in the past years. Although in-vehicle interventions and gamification features in …
Examination of the effect of task complexity and coping capacity on driving risk: a cross-country and transportation mode comparative study
The i-DREAMS project established a 'Safety Tolerance Zone (STZ)'to maintain operators
within safe boundaries through real-time and post-trip interventions, based on the crucial …
within safe boundaries through real-time and post-trip interventions, based on the crucial …
[PDF][PDF] Συσχέτιση κινδύνου ατυχήματος με την ικανότητα του οδηγού στην αντιμετώπιση της πολυπλοκότητας της οδήγησης με χρήση μηχανικής εκμάθησης
Σ Τσίγκος - 2024 - dspace.lib.ntua.gr
The aim of this thesis is to correlate the driver's ability to cope with the complexity of driving
with crash risk using machine learning techniques. Data required for this Diploma Thesis …
with crash risk using machine learning techniques. Data required for this Diploma Thesis …
[PDF][PDF] Identification of safe driving behavior using an ensemble of machine learning algorithms and data from the i-DREAMS experiment
The i-DREAMS project aims to setup a framework for the definition, development and
validation of a contextaware 'Safety Tolerance Zone (STZ)'in order to keep drivers within the …
validation of a contextaware 'Safety Tolerance Zone (STZ)'in order to keep drivers within the …