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.
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