Abstract
Performing macro and microscopic analysis of a complex system, as in the case of measuring variables of quality of service provided by system of public passenger transport, is a problem, even more, if it is about integration of information produced in a minimum period of time that should serve as an input for realization of macroscopic analysis of this information for a longer period of time. The main goal of this paper is describe integration of two paradigms of simulation, one based on intelligent agents for microscopic analysis of the behaviour of selected system of urban public transport in one day of its activity, and another, based on system dynamics, to perform a macroscopic analysis, initially taking into account information from one day of system’s operation. Results of pilot study show that data obtained from the simulation with agents are the starting point for realization of wider analysis by allowing simulation of the system in a period of 180 days.
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Mikusova, M., Callejas-Cuervo, M., Valero-Bustos, H.A., Alarcón-Aldana, A.C. (2019). Integration of Simulation Techniques: System Dynamics and Intelligent Agents Applied to a Case Study. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_44
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