© 2005

Applications of Agent Technology in Traffic and Transportation

  • Franziska Klügl
  • Ana Bazzan
  • Sascha Ossowski
Conference proceedings

Part of the Whitestein Series in Software Agent Technologies book series (WSSAT)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Paul Davidsson, Lawrence Henesey, Linda Ramstedt, Johanna Törnquist, Fredrik Wernstedt
    Pages 1-15
  3. Don Perugini, Dale Lambert, Leon Sterling, Adrian Pearce
    Pages 17-32
  4. Klaus Dorer, Monique Calisti
    Pages 33-49
  5. S. Ossowski, A. Fernández, J.M. Serrano, J.L. Pérez-de-la-Cruz, M.V. Belmonte, J.Z. Hernández et al.
    Pages 51-67
  6. Ana L. C. Bazzan, Franziska Klügl
    Pages 85-97
  7. Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
    Pages 99-111
  8. R.T. van Katwijk, P. van Koningsbruggen, B. De Schutter, J. Hellendoorn
    Pages 113-131
  9. Simon Hallé, Brahim Chaib-draa
    Pages 133-151
  10. Guido Rindsfüser, Franziska Klügl, Jörg Freudenstein
    Pages 165-180
  11. Rosaldo J. F. Rossetti, Ronghui Liu
    Pages 181-192
  12. Christian Gloor, Duncan Cavens, Kai Nagel
    Pages 193-209

About these proceedings


Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century. There is an increasing need to understand, model, and govern such systems at both the individual (micro) and the society (macro) level. Still, this raises significant technical problems, as transportation systems may contain thousands of autonomous, "intelligent" entities that need to be simulated and/or controlled. Therefore, traffic and transportation scenarios are extraordinarily appealing for Distributed Artificial Intelligence, and (multi-) agent technology in particular. This book gives an overview of recent advances in agent-based transportation systems. It includes both a state-of-the-art survey and reports on cutting-edge research in the field.


Logistics Transport artificial intelligence decision support system intelligence multi-agent system optimization scheduling software agent

Editors and affiliations

  • Franziska Klügl
    • 1
  • Ana Bazzan
    • 2
  • Sascha Ossowski
    • 3
  1. 1.Dept. of Artificial Intelligence and Applied Computer ScienceUniversity of WürzburgWürzburgGermany
  2. 2.Instituto de Informática, UFRGS, Campus do Vale, Bloco IVBairro AgronomiaPorto AlegreBrazil
  3. 3.Al Group DIET, ESCETUniversidad Rey Juan CarlosMadridSpain

Bibliographic information

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