Multi-Agent Simulation for Promoting the Clean Energy Vehicle Considering with Social Conformity

Abstract

Multi-agent simulation approach is suitable to describe the heterogeneity on social interaction. The choice of clean energy vehicle corresponding to the transport policy related to economic incentive is estimated with the multi-agent simulation. The proposed multi-agent simulation system consists of the vehicle choice model and the social interaction model. The vehicle choice is affected by the concern for environment and the social conformity effect in the model. The relation between agents like a social network of the real world is generated with a simple algorithm by small world network model. The time series changes of the number of the clean energy vehicle and the volume of greenhouse gas emission are estimated by proposed multi-agent simulation.