Abstract
<jats:p>This article evaluates the effectiveness of a simple optimization algorithm supporting cargo space utilization in international road transport under capacity and time-dependent constraints. The research focuses on identifying economically optimal additional loads that can be consolidated with a main shipment along a predefined route. The study applies a theoretical–empirical approach, combining a literature review with a case study of a transport operation from Madrid (Spain) to Warsaw (Poland). The dataset includes twelve additional freight offers described by weight, volume, revenue, and deviation distance. The methodology involves transforming geographic coordinates into a Cartesian system, estimating a route trend line, defining an acceptable deviation corridor, and filtering feasible loads based on payload and capacity constraints. An economic evaluation is conducted using the freight-to-distance ratio (EUR/km). The results show that the algorithm effectively reduces the time required for route planning and identifies economically viable solutions. The optimal scenario increased the freight-to-distance ratio to approximately 1.40 EUR/km, compared to a significantly lower value for the main load alone, while eliminating infeasible options. The findings confirm that simple algorithm-based tools can improve transport efficiency, support decision-making, and enhance capacity utilization without additional investments, contributing to economic performance and sustainability.</jats:p>