Аннотация:
The work is devoted to the problem of weighing vehicles in motion as part of modern information
technologies and automated intelligent systems of managing urban resources and infrastructure. The
purpose of this work is to improve the measurements accuracy of weight-in-motion systems under heavy
traffic conditions by developing an innovative weighting system based on dynamic neural networks as an
integral part of intelligent urban infrastructure management systems, thereby contributing to the efficiency
and sustainability of urban processes. Scientific novelty consists in the use of models in the form of time
delay neural networks to process data from weighing sensors. The application of this approach allows
increasing the accuracy of mass measurement in weight-in-motion systems in conditions of heavy traffic
by taking into account the dynamic and nonlinear properties of the weighing process. The practical
usefulness of the developed method lies in the development of new innovative weighing systems as part of
modern information technologies and automated intelligent systems for managing urban resources and
infrastructure. The application of dynamic neural networks for determining the mass of a vehicle in motion
is a promising approach that allows to significantly increasing the speed of vehicle while maintaining the
accuracy and reliability of mass determination
