An overview of a multiagent-based simulation system for dynamic management of risk related to Dangerous Goods Transport

作者: M. H. Laarabi , C. Roncoli , R. Sacile , A. Boulmakoul , E. Garbolino

DOI: 10.1109/SYSCON.2013.6549980

关键词:

摘要: Transportation engineering, and especially of Dangerous Goods (DG), is one the areas in which technological development crucial. Logistic control systems, routing scheduling algorithms, supply chain management have been applied this aspect so as to improve cost-effectiveness ratio reduce risks. Unfortunately, most these works remain theoretical since tests on real case scenario sometimes proves difficult achieve when we are dealing with Transport (DGT). In paper, an architecture a visual DGT simulation system has introduced. It provides entries for testing produces results close experiments. Applications serious games, financial market, engineering evidence success system. Thus, challenge consists how design that represents real-world systems appropriate degree complexity dynamics. Several researchers already suggested solutions 50s. These classified three levels: microscopic, mesoscopic macroscopic simulation. decided use microscopic approach using agent-based model. allows representation at different levels complexity, System Systems (SoS), through autonomous, goal-driven interacting entities. The implemented software MATSim (http://www.matsim.org/). main actors stand DG Carriers Operator (CO) agent manages fleet agents, taking logistic decisions their behalf. COs collaborate National Authority (NA), concerned by safety shipment goods regional national level. paper focus Multi-Agent (MAS) introduces its key components well means interaction.

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