Abstract
Due to advances in multi-agent simulation, realistic traffic microsimulation can be based on detailed models of traveller’s behaviour. Paradigms like the activity-based approach provide solutions at the level of traffic generation or transport demand modelling. This forms a prerequisite for any realistic traffic simulation.
In this contribution, we present a behavioral agent architecture that is used to reproduce the daily activity scheduling behaviour of individuals. Depending on the agents’ individual attributes like age, gender or employment status, specific tasks (activities or trips are assigned out of a set of habitual programs. This initial program has gaps and abstract tasks that are more and more concretized during the course of the day according to the agents’ situational context, its interaction with other agents and also due to unforeseeable traffic conditions during travelling.
The implementation is based on empirical findings where possible and heuristics as well as stochastic assignments where necessary. Only when implementing theoretical concepts, problems related to complex behaviour models, like available data, data formats, parameter calibration, simulation speed etc. occur. Thus, new research questions arise for both, agent simulation technology and transport demand modelling.
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Rindsfüser, G., Klügl, F., Freudenstein, J. (2005). Multi Agent System Simulation for the Generation of Individual Activity Programs. In: Klügl, F., Bazzan, A., Ossowski, S. (eds) Applications of Agent Technology in Traffic and Transportation. Whitestein Series in Software Agent Technologies. Birkhäuser Basel. https://doi.org/10.1007/3-7643-7363-6_11
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DOI: https://doi.org/10.1007/3-7643-7363-6_11
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