A description of the use of artificial intelligence in the development of decision support systems, which are used for various types of transport, is given. These systems are aimed at restructuring the schedule of movement of objects due to unforeseen deviations from the preplanned schedules. Machine learning of a neural network using a genetic algorithm is used. This minimizes the functionality that characterizes the deviation from the given schedule.

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