Adaptive Behavior Modeling in Logistic Systems with Agents and Dynamic Graphs

Abstract

Inside a logistic system, actors of the logistics have to interact to manage a coherent flow of goods. They also must deal with the constraints of their environment. The article’s first goal is to study how macro properties (such as global performance) emerge from the dynamic and local behaviors of actors and the structure of the territory. The second goal is to understand which local parameters affect these macro properties. A multi-scale approach made of an agent-based model coupled with dynamic graphs describes the system’s components, including actors and the transportation network. Adaptive behaviors are implemented in this model (with data about the Seine axis) to highlight the system’s dynamics. Agent strategies are evolving according to traffic dynamics and disruptions. This logistic system simulator has the capacity to exhibit large-scale evolution of territorial behavior and efficiency face to various scenarios of local agent behaviors.