Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century. Still, this raises significant technical problems, as transportation systems may contain thousands of autonomous, "intelligent" entities that need to be simulated and/or controlled.

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.

Building effective and user-friendly transportation systems is one of the big challenges for engineers in the 21st century Traffic and transportation scenarios are extraordinarily appealing for Distributed Artificial Intelligence, and (multi-)agent technology in particular