… This paper evaluates the effectiveness of autonomous vehicle … , a signalized intersection
was first modelled by Webster's method, and then the autonomous status of oncoming vehicles …

… of eco-driving control that concentrates on vehicle speed … vehicles on eco-driving control at
the signalized intersection, this … It combines driving lane planning and speed optimization for …

… Our focus in this paper is on an optimal control approach for a single autonomous vehicle
approaching multiple intersections in free flow mode in terms of energy consumption and …

… and non-signalized intersection. In 2015, Chen et al. [31] … intersection management of
vehicles, and they studied existing methods for both signalized and non-signalized intersections. …

… and automated vehicles (CAVs) communicating to traffic lights. The uncertainty of traffic
signal timing for signalized intersections on the road is considered. The eco-driving problem is …

… signal control and the trajectories of automated vehicles before they reach the intersection.
… by allocating space-time within the intersection region to vehicles. Our main contribution is a …

… Autonomous vehicles are equipped with a wide rage of sensors such as GPS, RADAR, … at
intersections in the city. The accident ratio of the intersection of the autonomous vehicles is 88…

… In particular, non-signalized intersections involve more … Hence, traffic safety at non-signalized
intersections is an … and left turns for a non-signalized intersection. More importantly, 94% of …

… and ensuring a more comfortable driving experience, this study investigates a … at signalized
intersections utilizing reinforcement learning (RL). Initially, control of CAVs at intersections is …

… This is still a difficult challenge for autonomous vehicles and could be facilitated by reducing
the number of permissive turnings at signalised intersections. If autonomous vehicles were …