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CSOC 2021: Artificial Intelligence in Intelligent Systems pp 45–54Cite as

Intersection as an Event- and Agent-Based System

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 229)

Abstract

The paper presents the capabilities of Matlab/Simulink environment, namely the toolboxes Stateflow and SimEvents, of modelling the event- and agent-based systems in the shape of a symmetrical intersection at a micro-scale level. This simple but complex system deals with a random occurrence of the agents (the traffic participants), their own behaviour patterns, given road traffic regulations and a discretization of the intersection space model. The goal consists in proposing of a control algorithm, simulating of its function at a given model abstraction, and finally, generating a programming code for a PLC. With this kind of an approach, it is possible to work within one development environment with the systems which are impossible to be solved analytically and whose real testing is time and effort consuming.

Keywords

  • Intersection
  • Event-based
  • Agent-based
  • Stateflow
  • SimEvents

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Acknowledgements

This publication is the result of implementation of the KEGA Project 0009STU-4/2018: “The innovation of the subject Intelligent Control Methods at the Faculty of Materials Science and Technology of Slovak University of Technology”.

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Authors and Affiliations

  1. Institute of Applied Informatics, Automation and Mechatronics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Trnava, Slovakia

    Daniel Kuchár & Peter Schreiber

Authors
  1. Daniel Kuchár
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  2. Peter Schreiber
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Corresponding author

Correspondence to Daniel Kuchár .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Kuchár, D., Schreiber, P. (2021). Intersection as an Event- and Agent-Based System. In: Silhavy, R. (eds) Artificial Intelligence in Intelligent Systems. CSOC 2021. Lecture Notes in Networks and Systems, vol 229. Springer, Cham. https://doi.org/10.1007/978-3-030-77445-5_5

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