Cooperative Connected and Automated Mobility in a Roundabout

Abstract

<div class="section abstract"><div class="htmlview paragraph">Roundabouts are intersections at which automated cars seem currently not performing sufficiently well. Actually, sometimes, they get stuck and the traffic flow is seriously reduced. To overcome this problem a V2N-N2V (vehicle-to-network-network-to-vehicle) communication scheme is proposed. Cars communicate via 5G with an edge computer. A cooperative machine-learning algorithm orchestrates the traffic. Automated cars are instructed to accelerate or decelerate with the triple aim of improving the traffic flow into the roundabout, keeping safety constraints, and providing comfort for passengers on board of automated vehicles. In the roundabout, both automated cars and human-driven cars run. The roundabout scenario has been simulated by SUMO. Additionally, the scenario has been reconstructed into a dynamic driving simulator, with a real human driver in a virtual reality environment. The aim was to check the human perception of traffic flow, driving safety and driving comfort. The hardware for letting cars communicate via 5G (telematic box) has been developed and tested in the virtual reality environment of the dynamic driving simulator. Human drivers require relatively low jerk but feel safe and comfortable driving with the automated cars instructed by the cooperative machine learning algorithm.</div></div>