Our increasing societal demand for mobility now challenges researchers to devise more efficient traffic and transportation systems.
The Handbook of Research on 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.
Author(s): Ana L. C. Bazzan, Franziska Klugl
Series: Premier Reference Source
Edition: 1
Publisher: Information Science Reference
Year: 2009
Language: English
Pages: 447
City: Hershey, PA
Title......Page 2
List of Reviewers......Page 4
Table of Contents......Page 5
Detailed Table of Contents......Page 9
Preface......Page 15
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......Page 24
A Multi-Agent Modeling
Approach to Simulate Dynamic
Activity-Travel Patterns......Page 59
MATSim-T:
Architecture and Simulation Times......Page 80
TRASS:
A Multi-Purpose Agent-Based
Simulation Framework for Complex
Traffic Simulation Applications......Page 102
Applying Situated Agents to
Microscopic Traffic Modelling......Page 131
Fundamentals of Pedestrian and
Evacuation Dynamics......Page 147
“Social Potential” Models
for Modeling Traffic and
Transportation......Page 178
Towards Simulating Cognitive
Agents in Public Transport
Systems......Page 199
An Unmanaged Intersection
Protocol and Improved
Intersection Safety for
Autonomous Vehicles......Page 216
Valuation-Aware Traffic
Control:
The Notion and the Issues......Page 241
Learning Agents for
Collaborative Driving......Page 263
Traffic Congestion Management
as a Learning Agent
Coordination Problem......Page 284
Exploring the Potential
of Multiagent Learning for
Autonomous Intersection
Control......Page 303
New Approach to Smooth
Traffic Flow with Route
Information Sharing......Page 314
Multiagent Learning on Traffic
Lights Control:
Effects of Using Shared Information......Page 330
The Merit of Agents in Freight
Transport......Page 346
Analyzing Transactions Costs
in Transport Corridors Using
Multi Agent-Based
Simulation......Page 365
A Multi-Agent Simulation of
Collaborative Air Traffic Flow
Management......Page 380
Compilation of References......Page 405
About the Contributors......Page 433
Index......Page 444
