  Humans are going to delegate the rights of driving to the autonomous vehicles
in near future. However, to fulfill this complicated task, there is a need for
a mechanism, which enforces the autonomous vehicles to obey the road and social
rules that have been practiced by well-behaved drivers. This task can be
achieved by introducing social norms compliance mechanism in the autonomous
vehicles. This research paper is proposing an artificial society of autonomous
vehicles as an analogy of human social society. Each AV has been assigned a
social personality having different social influence. Social norms have been
introduced which help the AVs in making the decisions, influenced by emotions,
regarding road collision avoidance. Furthermore, social norms compliance
mechanism, by artificial social AVs, has been proposed using prospect based
emotion i.e. fear, which is conceived from OCC model. Fuzzy logic has been
employed to compute the emotions quantitatively. Then, using SimConnect
approach, fuzzy values of fear has been provided to the Netlogo simulation
environment to simulate artificial society of AVs. Extensive testing has been
performed using the behavior space tool to find out the performance of the
proposed approach in terms of the number of collisions. For comparison, the
random-walk model based artificial society of AVs has been proposed as well. A
comparative study with a random walk, prove that proposed approach provides a
better option to tailor the autopilots of future AVS, Which will be more
socially acceptable and trustworthy by their riders in terms of safe road
travel.
