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Humans are going to delegate the rights of driving to the autonomous vehiclesin near future. However, to fulfill this complicated task, there is a need fora mechanism, which enforces the autonomous vehicles to obey the road and socialrules that have been practiced by well-behaved drivers. This task can beachieved by introducing social norms compliance mechanism in the autonomousvehicles. This research paper is proposing an artificial society of autonomousvehicles as an analogy of human social society. Each AV has been assigned asocial personality having different social influence. Social norms have beenintroduced which help the AVs in making the decisions, influenced by emotions,regarding road collision avoidance. Furthermore, social norms compliancemechanism, by artificial social AVs, has been proposed using prospect basedemotion i.e. fear, which is conceived from OCC model. Fuzzy logic has beenemployed to compute the emotions quantitatively. Then, using SimConnectapproach, fuzzy values of fear has been provided to the Netlogo simulationenvironment to simulate artificial society of AVs. Extensive testing has beenperformed using the behavior space tool to find out the performance of theproposed approach in terms of the number of collisions. For comparison, therandom-walk model based artificial society of AVs has been proposed as well. Acomparative study with a random walk, prove that proposed approach provides abetter option to tailor the autopilots of future AVS, Which will be moresocially acceptable and trustworthy by their riders in terms of safe roadtravel.

Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and Social Norms