Abstract
This paper presents the development of an intelligent cargo flow control system for selecting the optimal route for a vehicle transporting cargo. The main factors affecting the decision-making process include cargo weight and volume, delivery speed, and additional factors such as road surface condition, potential obstacles and constraints, allowable road load and quality of road infrastructure. The study uses a neural network to analyse the input data and an evaluation of the road quality is made using fuzzy logic. The work also focuses on dynamic conditions such as real-time traffic congestion in order to optimise the route and minimise delivery time and costs.