  Interactions between pedestrians, bikers, and human-driven vehicles have been
a major concern in traffic safety over the years. The upcoming age of
autonomous vehicles will further raise major problems on whether self-driving
cars can accurately avoid accidents; on the other hand, usability issues arise
on whether human-driven cars and pedestrians can dominate the road at the
expense of the autonomous vehicles which will be programmed to avoid accidents.
This paper proposes some game theoretical models applied to related traffic
scenarios. In the first two games the reciprocal influence between a pedestrian
and a vehicle (either autonomous or not) is analyzed, while the third game
investigates the intersection of two vehicles, possibly autonomous. The games
have been simulated in order to demonstrate the theoretical analysis and the
predicted behaviors. These investigations can shed new lights on how novel
urban traffic regulations could be required to allow for a better interaction
of vehicles and a general improved management of traffic and communication
vehicular networks.
