Agent-based Modeling of Social Behavioral Challenges in Transportation

Abstract

Agent-Based modeling has been around us for reasonably some time now and has thus developed a vital factor for performing prediction-based scheduling, such as the transportation models for municipal cities. This paper assumes the important understanding of the agent-based modelling and imitation and its application to the transportation models while deliberating the possibility of its applications and advantages too. The paper then presents the ideas recognised to the social behaviours in combination with the agent-based modelling procedures useful so far. The literature review showed in lieu of this work has caused in agreement with the fact that the applicability of agent-based modelling is by far superior than ever due to the ever-improving computing speeds and abilities, while the understanding of complex human behaviour will endure to be a challenge for imitations and mechanisation methods developed so far.