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AGADE Traffic 2.0 - A Knowledge-Based Approach for Multi-agent Traffic Simulations

  • Jannik Geyer
  • Johannes NguyenEmail author
  • Thomas Farrenkopf
  • Michael Guckert
Conference paper
  • 53 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12092)

Abstract

AGADE Traffic 2.0 (funded by Karl-Vossloh-Stiftung) is a multi-agent based tool for traffic simulations with focus on modelling dynamic decision-making processes for individual traffic participants. For this purpose, a revised modelling component has been integrated that uses semantic technologies (OWL and SWRL) to express agent behaviour. At the same time, this approach enables new options to make agent behaviour explainable. In this paper, we demonstrate that a rule-based modelling approach combined with a logging mechanism can be applied to provide data that can be used to identify specific emerging behavioural patterns and their consequences for the results of the simulations.

Keywords

Agent behaviour modelling Multi-agent based traffic simulation Transparent agent behaviour Semantic agent modelling 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jannik Geyer
    • 1
  • Johannes Nguyen
    • 1
    Email author
  • Thomas Farrenkopf
    • 1
  • Michael Guckert
    • 1
  1. 1.KITETechnische Hochschule MittelhessenFriedbergGermany

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