The Agent Based Modeling of E-Mobility

Capturing vehicular travel behaviour is one of the most popular models that deal with relevant aspects of urban regions and communities. A borrowed simulation technique used in social systems is employed where representing dynamic behaviour of Electric Vehicle real-time system. The simulation approach taken is to model the vehicle and network using procedural and declarative logic in order to simplify the overall system level computational complexity, and also to capture the behaviour of the driver's battery charging decisions. It aims at providing a model that can spot the gaps in the infrastructure network hence evaluate the network reliability. This article explores a promising experimental approach so as to assist in the design phase of EV charging network. A simplified hypothetical-urban-diagram is proposed showing all key theories needed. This article works as a glossary that covers the math behind modeling an EV system. It goes through the interactions and messaging protocol which are taking place in the simulation environment, simulation paragon, the agent architecture. The present study targets social scientists, policy makers and planning authorities, who are concerned with the EVs hard and soft infrastructure.