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
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