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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.
Content Level »Research
Keywords »Logistics - Transport - artificial intelligence - decision support system - intelligence - multi-agent system - optimization - scheduling - software agent
Agent-Based Approaches to Transport Logistics.- Provisional Agreement Protocol for Global Transportation Scheduling.- An Adaptive Approach to Dynamic Transport Optimization.- Designing Multiagent Decision Support Systems for Traffic Management.- SCATEAgent: Context-Aware Software Agents for Multi-Modal Travel.- Reducing the Effects of the Braess Paradox with Information Manipulation.- Analysis of the Effect of Route Information Sharing on Reduction of Traffic Congestion.- A Test Bed for Multi-Agent Control Systems in Road Traffic Management.- Collaborative Driving System Using Teamwork for Platoon Formations.- Computation of Location Choice of Secondary Activities in Transportation Todels with Cooperative Agents.- Multi Agent System Simulation for the Generation of Individual Activity Programs.- A Dynamic Network Simulation Model Based on Multi-Agent Systems.- A Message-Based Framework for Real-World Mobility Simulations.