This paper is devoted to the pressing issue of improving the accuracy of automatic dynamic control systems for vehicle axial loads. The authors investigate the influence of external forces acting during driving on the reliability of measurements of weight and dimensional parameters, including the longitudinal component of gravity on the road slope, aerodynamic drag, inertial loads and rolling resistance. A mathematical model is developed that allows the correction of the results of dynamic measurements, taking into account the above-mentioned factors, thus ensuring their conformity with static conditions. Particular attention is paid to the methodology for eliminating errors caused by variable environmental parameters (wind speed, humidity, and temperature) and technical characteristics of the vehicles (streamlining coefficient, mass distribution). Within the framework of the research, the integration of additional sensors in the infrastructure of weight and dimension control stations is proposed. The software developed based on analytical dependencies allows the calculation of equivalent static axle loads, reducing the risk of erroneous penalties. The research results have practical implications for improving the regulatory framework, increasing the safety of road infrastructure and optimizing logistics processes. The implementation of the proposed solutions will help to reduce operating costs and extend the service life of the road surface due to the timely detection of overloads.