AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO

Mahyar Sadeghi Garjan, Tommy Chaanine, Cecilia Pasquale, Vito Paolo Pastore, Angelo Ferrando

Abstract: Simulating everyday traffic scenarios is not an easy task. Many aspects have to be taken into consideration and properly modelled, from static components, like traffic lights, to dynamic components, like vehicles. Due to their intrinsic autonomy and distribution, such components have already been designed as software agents, and integrated into existing traffic simulators, such as SUMO. The needing for agent-based modelling is even more evident when autonomous vehicles are present in the simulation. In this paper, we present an Agent-Based Traffic Simulation framework, where the simulation components can be defined as JADE agents. We present the engineering of our framework, and we show how it represents a new alternative for creating Agent-Based simulations in the largely used SUMO traffic simulator. We also demonstrate its applicability by employing the framework in one case study involving autonomous vehicles.