Abstract
This paper presents a real-time prediction model for driver's traffic accident risk during the next minute using the information of the driver's concentration levels from the previous minute combined with the driver's demographic information. The predictive model is built using automated machine learning tools. The data used in this work was collected in a previous study that developed models for driver's traffic accident prediction during a 10 minutes driving simulation exercise in which the drivers received phone alert distractions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have