Agent-based modeling for traffic simulation: in case of motorbike movement in unorganised traffic

Abstract

Traffic simulation is considered as an adequate method for analyzing and solving traffic problems. Our challenge is to find out solutions to traffic congestion. This paper proposes a multi-agent model for modelling and simulation of traffic during rush hours at the Da Nang University of Economics gate.The model focuses on the research of motor bike movement behavior in chaotic environments without traffic rules, no lanes and no traffic lights. Agents move toward a predetermined target. During the movement process, the target is perhaps not available any more, the agents have to identify new target. This paper proposes an algorithm that can adjust the target during the movement. The model has been installed on the platform GAMA and proposes solutions to traffic congestion.