Editors: Ana L. C. Bazzan and Franziska Klügl
Publisher: IGI Global
416p
ISBN 978-1-60566-226-8

We thank all authors and reviewers for supporting us in producing such a compendium of the current state of art in multi-agent systems for traffic and transportation. The book will be available on the book market in April 2009.

Contents:

PART I: Reproducing Traffic

Adaptation and congestion in a multi-agent system to analyse empirical traffic problems: concepts and a case study of the road user charging scheme at the Upper Derwent Valley, Peak District National Park
Takeshi Takama

A Multi-Agent Modelling Approach to Simulate Dynamic Activity-Travel Patterns
Qi Han, Theo Arentze ,Harry Timmermans, Davy Janssens, Geert Wets

MATSim-T: Architecture and Simulation Times
Michael Balmer, Marcel Rieser, Konrad Meister, David Charypar, Nicolas Lefebvre, Kai Nagel

TRASS - A multi-purpose Agent-based Simulation Framework for Complex Traffic Simulation Applications
Ulf Lotzmann

Applying Situated Agents to Microscopic Traffic Modelling
Paulo Ferreira, Edgar Esteves, Rosaldo Rossetti, Eugénio Oliveira

Fundamentals of Pedestrian and Evacuation Dynamics
Andreas Schadschneider, Hubert Klüpfel, Tobias Kretz, Christian Rogsch, Armin Seyfried

“Social Potential” Models for Modeling Traffic and Transportation
Rex Oleson, Thomas L. Clarke, David J. Kaup, Linda Malone, Ladislau Boloni,

Towards Simulating Cognitive Agents in Public Transport Systems
Sabine Timpf

PART II: Intelligent Traffic Management and Control

An Unmanaged Intersection Protocol and Improved Intersection Safety for Autonomous Vehicles
Kurt Dresner, Peter Stone, Mark Van Middlesworth

Valuation-Aware Traffic Control – the Notion and the Issues
Heiko Schepperle, Klemens Böhm

Learning Agents for Collaborative Driving
Jules Laumonier, Charles Desjardin, Brahim Chaib-draa

Traffic Congestion Management as a Learning Agent Coordination Problem
Kagan Tumer, Zachary T. Welch, Adrian Agogino

Exploring the potential of multiagent learning for autonomous intersection control
Matteo Vasirani, Sascha Ossowski

New Approach to Smooth Traffic Flow with Route Information Sharing
Tomohisa Yamashita, Koichi Kurumatani

Multiagent Learning on Traffic Lights Control: effects of using shared information
Denise de Oliveira, Ana L. C. Bazzan

PART III: Logistics and Air Traffic

The Merit of Agents in Freight Transport
Tamas Mahr, Jordan Srour, Mathijs de Weerdt, Rob Zuidwijk

Analyzing Transactions Costs in Transport Corridors Using Multi Agent-Based Simulation
Lawrence Henesey, Jan A. Persson

A Multiagent Simulation of Collaborative Air Traffic Flow Managment
Shawn R. Wolfe, Peter A. Jarvis, Francis Y. Enomoto, Maarten Sierhuis, Bart-Jan van Putten, Kapil S. Sheth