Multi-Agent Systems for Traffic and Transportation Engineering provides a unique compendium of research covering topics such as transportation system designs, control devices, and techniques to optimize existing networks. Presenting a collection of approaches to issues in traffic and transportation, this authoritative reference offers a compilation of chapters with innovative methods and systems written by leading international researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Activity-travel patterns
Autonomous intersection control
Collaborative driving
Complex traffic simulation
Evacuation dynamics
Microscopic traffic modelling
Pedestrian dynamics
Public transport systems
Route information sharing
Traffic congestion management
Traffic flow

Reviews & Statements

This book is a collection of contributions addressing topics that arose from a cross fertilization between traffic engineering and multi-agent system. Hence, this book summarizes innovative ideas for applications of different agent technologies on traffic and transportation related problems.

– Ana L. C. Bazzan, Instituto de Informatica, UFRGS, Brazil

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Editor/Author Biographies

Ana Bazzan received her PhD in 1997 from the University of Karlsruhe (Germany), and an MSc. in Computer Science from the Institute of Informatics at the University of Rio Grande do Sul (UFRGS) in Porto Alegre (Brazil). From 1997 to 1998, she had a postdoc research associate position in the Multi-Agent Systems Laboratory at the University of Massachusetts in Amherst, under the supervision of Prof. Victor Lesser. In 1999 she joined the Institute for Informatics at UFRGS as a Professor and got tenure 3 years later. During 2006 and 2007 she had a fellowship from the Alexander von Humboldt Foundation at the University of Würzburg (Germany). She is affiliated with the research groups on Artificial Intelligence and Multi-Agent Systems at UFRGS. Her research interests include: Game-Theoretic Paradigms for Coordination of Agents, Multiagent Learning, Coordination and Cooperation in MAS, Agent-Based Simulation, RoboCup Rescue, and Traffic Simulation and Control. Other professional activities: associate editor of the journal Advances in Complex Systems, chair of program committee for the 17th Braz. Symp. on Artificial Intelligence (2004), and co-organizer of workshop series on Agents in Traffic and Transportation.

Franziska Klügl is Universitetslektor at the Örebro University since September 2008. She is also responsible for Scenario-based Modelling at the Research Centre for Modelling and Simulation at the Campus Alfred Nobel in Karlskoga. She received her PhD in Computer Science from the University of Würzburg (2000). From 2000 to 2008 she worked as an Assistant Professor at the University of Würzburg and headed there the Multi-Agent Simulation group. She is co-organizer of the workshop series on “Agents in Traffic and Transportation” and was involved in the organization of several scientific events like PC Chair of the European Workshop of Multi-Agent Systems (2008). Her research interests are in the area of methodologies, applications and tools for multi-agent simulation ranging from learning and adaptive agents to visual programming for modelling multi-agent models. The main application areas of her research are all forms of traffic simulation.

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Editorial Advisory Board

Adrian Agogino, University of California, NASA Ames Research Center, USA

Gustavo Kuhn Andriotti, Universität Würzburg, Germany

Michael Balmer, IVT, ETH Zürich, Suisse

Brahim Chaib-Draa, Computer Science and Software Engineering Department, Laval University, Canada

Michel Ferreira, Universidade do Porto, Portugal

Leonardo Garrido, Centro de Computación Inteligente y Robótica, Tecnológico de Monterrey, México

Dominik Grether, Institut für Verkehrssystemplanung und Verkehrstelematik, TU Berlin, Germany

Qi Han, Eindhoven University of Technology, Urban Planning Group, The Netherlands

Florian Harder, Institut für Geographie, Universität Würzburg, Germany

Rainer Herrler, SSI Schäfer Noell GmbH, Germany

Peter Jarvis, NASA Ames Research Center, USA

David J. Kaup, Institute for Simulation and Training & Mathematics Department, University of Central Florida, USA

Hubert Klüpfel, TraffGoHT GmbH, Germany

Kai Nagel, Institut für Verkehrssystemplanung und Verkehrstelematik, TU Berlin, Germany

Gregor Lämmel, Institut für Verkehrssystemplanung und Verkehrstelematik, TU Berlin, Germany

Shoichiro Nakayama, Department of Civil Engineering, Kanayawa University, Japan

Rex Oleson, Institute for Simulation and Training, University of Central Florida, USA

Denise de Oliveira, Instituto de Informática, Universidade Federal do Rio Grande do Sul, Brazil

Guido Rindsfüser, Emch+Berger AG Bern, Suisse

Roseli F. Romero, ICMC-USP, Brazil

Rosaldo Rossetti, Artificial Intelligence and Computer Science Laboratory (LIACC), University of Porto (FEUP), Portugal

Andreas Schadschneider, Institut für Theoretische Physik, Universität zu Köln, Germany

Heiko Schepperle, Institute for Program Structures and Data Organization (IPD), Universität Karlsruhe (TH), Germany

Takeshi Takama, Stockholm Environment Institute / Oxford Office, UK, University of Oxford, OUCE, UK

Harry Timmermans, Eindhoven University of Technology, Urban Planning Group, The Netherlands

Sabine Timpf, Geoinformatics, Department of Geography, University of Augsburg, Germany

Kagan Tumer, School of MIME, Oregon State University, USA

Karl Tuyls, Technische Universiteit Eindhoven, The Netherlands

Matteo Vasirani, Artificial Intelligence Group, University Rey Juan Carlos, Madrid, Spain

Li Weigang, UnB, Brazil

Marco Wiering, Universiteit Utrecht, The Netherlands

Shawn Wolfe, NASA Ames Research Center, USA

Tomoshisa Yamashita, CREST, Japan Science and Technology Agency (JST), Information Technology Research Institute (ITRI), National Institute of Advanced Industrial Science and Technology (AIST), Japan