The BDI Driver in a Service City (Extended Abstract)

Abstract

Most traffic simulation frameworks move vehicles from some location A to some location B as the result of different equations of motion or fluid dynamics. As it is, reality is much more complex because what actually happens on the road is not only determined by physics of motion, but also by the perception and attitudes of the drivers. In this work, we introduce an approach which considers a driver's state of mind within large scale traffic simulations. For this purpose we describe a BDI based conceptualisation of a driver and extend common simulation topologies with service oriented concepts.

@INPROCEEDINGS{Lutzenberger2011BDI,
  author = {Marco L"{u}tzenberger and Nils Masuch and Benjamin Hirsch and Sebastian
	Ahrndt and Axel He{ss}ler and Sahin Albayrak},
  title = {The {BDI} Driver in a Service City},
  booktitle = {Proceedings of the 10textsuperscript{th} International Conference
	on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei,
	Taiwan},
  year = {2011},
  editor = {Kagan Tumer and Pinar Yolum and Liz Sonenberg and Peter Stone},
  pages = {1257--1258},
  month = {May},
  organization = {International Foundation for Autonomous Agents and Multiagent Systems},
  abstract = {Most traffic simulation frameworks move vehicles from some location
	A to some location B as the result of different equa- tions of motion
	or fluid dynamics. As it is, reality is much more complex because
	what actually happens on the road is not only determined by physics
	of motion, but also by the perception and attitudes of the drivers.
	In this work, we introduce an approach which considers a driverÕs
	state of mind within large scale traffic simulations. For this purpose
	we describe a BDI based conceptualisation of a driver and extend
	common simulation topologies with service oriented concepts.}
}
Autoren:
Marco Lützenberger, Nils Masuch, Benjamin Hirsch, Sebastian Ahrndt, Axel Heßler, Sahin Albayrak
Kategorie:
Tagungsbeitrag
Jahr:
2011
Ort:
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, Taiwan, pp. 1257-1258