multi-agent systems for traffic and transportation engineering

Chapter I: Adaptation and Congestion in a Multi-Agent System to Analyse Empirical Traffic Problems Chapter II: A Multi-Agent Modeling Approach to Simulate Dynamic Activity-Travel Patterns Chapter III: MATSim-T: Architecture and Simulation Times Chapter IV: TRASS: A Multi-Purpose Agent-Based Simulation Framework for Complex Traffic Simulation Applications Chapter V: Applying Situated Agents to Microscopic Traffic Modelling Chapter VI: Fundamentals of Pedestrian and Evacuation Dynamics Chapter VII:“Social Potential” Models for Modeling Traffic and Transportation Chapter VIII: Towards Simulating Cognitive Agents in Public Transport Systems Chapter IX：An Unmanaged Intersection Protocol and ImprovedIntersection Safety for Autonomous Vehicles Chapter X：Valuation-Aware Traffic Control: The Notion and the Issues Chapter XI：Learning Agents for Collaborative Driving Chapter XII：Traffic Congestion Management as a Learning Agent Coordination Problem Chapter XIII：Exploring the Potential of Multiagent Learning for Autonomous Intersection Control Chapter XIV：New Approach to Smooth Traffic Flow with Route Information Sharing Multiagent Learning on Traffic：Lights Control: Effects of Using Shared Information Chapter XVI：The Merit of Agents in Freight Transport Chapter XVII Analyzing Transactions Costs in Transport Corridors Using Multi Agent-Based Simulation Chapter XVIII：A Multi-Agent Simulation of Collaborative Air Traffic Flow Management