… envisaging their potential to more realistically represent a driverless vehicle, we have defined
… realistic autonomous vehicles and too many simple cars within a microscopic traffic model. …

… To do so, such mixed traffic flows must be simulated in various traffic scenarios. Traffic flow
… used to perform multiple simulations of such traffic flows. In this paper, three often used …

… acclaimed in the research field of autonomous vehicles systems, as they provide suitable …
, eg to study autonomous driving behaviors in human-steered urban traffic scenarios, which are …

… some traffic scenarios may not be supported by a simplistic model of autonomous vehicles.
… behavior models automatically supports the generation of diverse traffic scenarios. Since the …

… The adaptations are dependent on the driving scenario and whether the surrounding traffic
was AVs or MVs. Arvin et al. (2021) looked at the potential impact from the number of conflicts …

… scenarios ie with a small number of vehicles. This paper simulates CAVs in realistic
communication and road network scenarios with different market penetration rates, using real traffic …

… substitutes for self-driving cars, this study focused on traffic flow in real-life traffic, resembling
a … of this study was to compare traffic flow conditions relatively for situations with and without …

… small number of vehicles with imperfect … traffic safety and efficiency in realistic scenarios in
terms of imperfect communication, large-reaction time, vehicle modelling, and traffic scenario, …

… interactive traffic scenarios in the CARLA simulator, which are based on real-world traffic. We
… The CARLA Real Traffic Scenarios (CRTS) is intended to be a training and testing ground …

… situations, eg risky situations. Just as in real traffic situations, a main component of the
driving … The main reason for choosing driving simulators for conducting driving behavior …