lectric Vehicle Route Simulation: A Preliminary Approach

This article presents a NetLogo-based multi-agent simulator developed to optimize route and task planning using electric vehicles for travel between branches of Société Générale. The simulator takes into account constraints linked to the limited autonomy of electric vehicle batteries in the dense urban context of branches. We carried out simulation tests to evaluate the simulator’s performance and generate optimized routes, minimizing distances travelled and CO2 emissions. This simulator represents a promising first step in the search for innovative solutions for planning electric vehicle routes between branches.