Modeling logistic systems with an agent-based model and dynamic graphs

Each actor and infrastructure is represented with agents. The transportation network is a multi-modal dynamic graph that makes possible to model the traffic and topology evolution. This approach enables users, like public authorities, to modify local parameters and observe their effects at the macro level. Thus users can identify levers to control the whole system. We execute some simulations with data on the Seine axis to confront our results with a real case study. We provide some measures (e.g. number of vehicles and quantity of goods) to show that the simulation reproduces the atomization process of logistic flows. We propose a spatial analysis of the goods traffic within the transportation network and compare the effects of two replenishment strategies on the stock shortages.