Skip to main content
Springer Nature Link
Log in

Agents in Traffic Modelling — From Reactive to Social Behaviour

  • Conference paper
  • First Online:
KI-99: Advances in Artificial Intelligence (KI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1701))

Included in the following conference series:

  • 698 Accesses

Abstract

In modern societies the demand for mobility is increasing daily. One challenge to researchers dealing with transportation is to find efficient ways to model and predict traffic flow, even if the behaviour of people in traffic is not a trivial problem. The social nature of traffic (e.g. coordinated decisions) seems to be a key question, not well explored. We aim at creating a model of drivers as social agents, thus allowing their behaviour to be predicted and considered in the simulation. This may, on its turn, improve the accuracy of the existing Advanced Travel Information Systems (ATIS).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bazzan, A. L. C.: An Evolutionary Game-Theoretic Approach for Coordination of Traffic Signal Agents. PhD Thesis (1997), University of Karlsruhe

    Google Scholar 

  2. Klügl, F., Puppe, F.: The Multi-Agent Simulation Environment SeSAm. In: Proc. of the workshop SiWis (1998), Paderborn

    Google Scholar 

  3. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Phys. I France 2 (1992) 2221

    Article  Google Scholar 

  4. Rao, A. S., Georgeff, M. P.: Modelling Rational Agents within a BDI architecture. In: Proc. of the Int. Conf. on Knowledge Representation and Reasoning (1991) 473–484, San Mateo, CA, Morgan Kaufmann

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Inst. of Informatics, UFRGS, C.P. 15064, 91501-970, P. Alegre, RS, Brazil

    Ana Lécia C. Bazzan

  2. Physics of Transport and Traffic, Univ. of Duisburg, 47048, Duisburg, Germany

    Joachim Wahle

  3. Dept. of Art. Int., Univ. of Würzburg, Am Hubland, 97074, Würzburg, Germany

    Franziska Klügl

Authors
  1. Ana Lécia C. Bazzan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joachim Wahle
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Franziska Klügl
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institut für Informatik III, Universität Bonn, Römerstraße 164, D-53117, Bonn, Germany

    Wolfram Burgard  & Armin B. Cremers  & 

  2. GMD-Forschungszentrum Informationstechnik GmbH, Schloß Birlinghoven, D-53754, Sankt Augustin, Germany

    Thomas Cristaller

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bazzan, A.L.C., Wahle, J., Klügl, F. (1999). Agents in Traffic Modelling — From Reactive to Social Behaviour. In: Burgard, W., Cremers, A.B., Cristaller, T. (eds) KI-99: Advances in Artificial Intelligence. KI 1999. Lecture Notes in Computer Science(), vol 1701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48238-5_28

Download citation

  • DOI: https://doi.org/10.1007/3-540-48238-5_28

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66495-6

  • Online ISBN: 978-3-540-48238-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics