The problem of route planning is one of the most important logistics problems in the field of transportation. It is especially relevant when developing the use of autonomous vehicles based on electric motors in the transportation of goods. Timely route planning reduces potential transportation costs and allows the most efficient creation of initial mission data for unmanned transportation. In this study, we consider the implementation of a software module to obtain the most optimal distribution of routes between vehicles in order to minimize the resources used by trucks in the delivery of goods during the movement process. The work is based on the use of an optimization algorithm inspired by the behavior of honeybees.