Abstract
The paper summaries author’s view on the Agent-Based Modeling (AgBM) and what it brings to travel modeling in addition to the existing microsimulation techniques already in practice. It provides practical examples where AgBM proved to be useful and looks as a promising way to improve the model structures. The new AgBM features include: (1) making individual agents (households and persons) “intelligent” by having individual memory and dynamic state dependence mechanisms with referencing, (2) ability of individual agents to adapt to the changing environment, when they can change parameters such as Value of Time (VOT), (3) direct interactions between the individual agents and not only with the aggregate environment, (4) learning from others through social and spatial networks, in particular, in the context of “modality”, (5) distinguishing between the planning layer and real-time implementation layer (simulation) in the model system, and (6) explicit competition for a constraint supply of activities, for example, in the context of workplace location choice.
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Vovsha, P. (2017). Microsimulation Travel Models in Practice in the US and Prospects for Agent-Based Approach. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_5
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