Effect of roundabout design on the behavior of road users: A case study
  of roundabouts with application of Unsupervised Machine Learning
Tasnim M. Dwekat Ayda A. Almsre Huthaifa I. Ashqar
This research aims to evaluate the performance of the rotors and study the
behavior of the human driver in interacting with the rotors. In recent years,
rotors have been increasingly used between countries due to their safety,
capacity, and environmental advantages, and because they provide safe and fluid
flows of vehicles for transit and integration. It turns out that roundabouts
can significantly reduce speed at twisting intersections, entry speed and the
resulting effect on speed depends on the rating of road users. In our research,
(bus, car, truck) drivers were given special attention and their behavior was
categorized into (conservative, normal, aggressive). Anticipating and
recognizing driver behavior is an important challenge. Therefore, the aim of
this research is to study the effect of roundabouts on these classifiers and to
develop a method for predicting the behavior of road users at roundabout
intersections. Safety is primarily due to two inherent features of the rotor.
First, by comparing the data collected and processed in order to classify and
evaluate drivers' behavior, and comparing the speeds of the drivers (bus, car
and truck), the speed of motorists at crossing the roundabout was more fit than
that of buses and trucks. We looked because the car is smaller and all parts of
the rotor are visible to it. So drivers coming from all directions have to slow
down, giving them more time to react and mitigating the consequences in the
event of an accident. Second, with fewer conflicting flows (and points of
conflict), drivers only need to look to their left (in right-hand traffic) for
other vehicles, making their job of crossing the roundabout easier as there is
less need to split attention between different directions.