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  • Conference proceedings
  • © 2005

Applications of Agent Technology in Traffic and Transportation

Birkhäuser
  • Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century
  • Traffic and transportation scenarios are extraordinarily appealing for Distributed Artificial Intelligence, and (multi-)agent technology in particular

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Table of contents (13 papers)

  1. Front Matter

    Pages i-viii
  2. Agent-Based Approaches to Transport Logistics

    • Paul Davidsson, Lawrence Henesey, Linda Ramstedt, Johanna Törnquist, Fredrik Wernstedt
    Pages 1-15
  3. Provisional Agreement Protocol for Global Transportation Scheduling

    • Don Perugini, Dale Lambert, Leon Sterling, Adrian Pearce
    Pages 17-32
  4. An Adaptive Approach to Dynamic Transport Optimization

    • Klaus Dorer, Monique Calisti
    Pages 33-49
  5. Designing Multiagent Decision Support Systems for Traffic Management

    • 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. Reducing the Effects of the Braess Paradox with Information Manipulation

    • Ana L. C. Bazzan, Franziska Klügl
    Pages 85-97
  7. Analysis of the Effect of Route Information Sharing on Reduction of Traffic Congestion

    • Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
    Pages 99-111
  8. A Test Bed for Multi-Agent Control Systems in Road Traffic Management

    • R.T. van Katwijk, P. van Koningsbruggen, B. De Schutter, J. Hellendoorn
    Pages 113-131
  9. Collaborative Driving System Using Teamwork for Platoon Formations

    • Simon Hallé, Brahim Chaib-draa
    Pages 133-151
  10. Multi Agent System Simulation for the Generation of Individual Activity Programs

    • Guido Rindsfüser, Franziska Klügl, Jörg Freudenstein
    Pages 165-180
  11. A Dynamic Network Simulation Model Based on Multi-Agent Systems

    • Rosaldo J. F. Rossetti, Ronghui Liu
    Pages 181-192
  12. A Message-Based Framework for Real-World Mobility Simulations

    • Christian Gloor, Duncan Cavens, Kai Nagel
    Pages 193-209

About this book

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.

Editors and Affiliations

  • Dept. of Artificial Intelligence and Applied Computer Science, University of Würzburg, Würzburg, Germany

    Franziska Klügl

  • Instituto de Informática, UFRGS, Campus do Vale, Bloco IV, Bairro Agronomia, Porto Alegre, Brazil

    Ana Bazzan

  • Al Group DIET, ESCET, Universidad Rey Juan Carlos, Madrid, Spain

    Sascha Ossowski

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access