… autonomous driving to improve the safety and convenience of our daily life is coming closer.
However, driving in unregulated, crowded urban … , dense urban traffic on complex real-world …

… A number of microscopic models have been developed for specific urban traffic simulations,
… a rule-based process to model vehicle-pedestrian interactions in mixed traffic simulations. …

… possible impacts of AVs on the urban traffic network capacity. … virtual grid traffic network
and a real-world urban road system… and autonomous vehicles, the simulation scenarios were …

… Autonomous vehicles (AVs) being an essential component of the future smart city traffic
system is a … In the next section, we will apply this model to a closed circular road for simulation. …

… conventional, electric, and hybrid vehicles. We find that automated vehicles perform at a 10%…
We only consider simulation data after the first vehicle has left the network and the network …

… conflicts when more level 2 automated vehicles are introduced in the simulated network,
while level 3 … However, in the case of urban traffic (Figures 4 and 7, only few among most-used …

… it is imperative that simulation models that consider AVs in mixed automated-human traffic
must also … This contribution focusses on the interactions in mixed traffic and therefore explicitly …

… traffic patterns in a network with mixed facilities, ie, autonomous-driving expressways and
non-autonomous … of both the AV self-driving part and the manual-driving part. This has been …

… In order to conduct merging and diverging maneuvers for the mixed traffic, we developed
a simulation environment in Python. As shown in Fig. 2, a highway stretch of 3 lanes …

… of autonomous driving strategy usually start from simulation … used simulation platforms for
autonomous driving strategies at … : A simulator for urban driving in massive mixed traffic," in …