Abstract
Agent based modeling focuses on simulating the simultaneous operations and interactions of individual entities as opposed to system level simulation. Simple behavioral rules are specified for agents in interaction with the environment, resulting in the generation of complex system behavior. Growing the popularity of this approach in recent years, it has been used in variety of scientific applications. Agents can be people, companies, projects, vehicles, products, etc., making it possible to apply the concept to different grounds of research. This paper presents a background of the agent based modeling, focusing on MATSim (a large-scale agent-based transport simulation tool). An application of MATSim to a large-scale scenario of San Francisco Bay Area is discussed and presented under an integrated connected corridor framework. The simulated network, consisted of 31,608 nodes and 73,711 links, modelled about 2.1 million agents in 1454 TAZs. The result of the simulation is illustrated and future steps are provided.
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