title: ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð»Ð¾Ð³Ð¸ÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ, Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Forecasting the behavior of a logistics system using neural networks
Creators: name: ÐÐ¾Ð³Ð´Ð°Ð½Ð¾Ð², Ð Ð¾Ð¼Ð°Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÐÐ°ÑÑÐ°Ð¶Ð¸ÑÑÐºÐ¸Ðµ Ð¿ÐµÑÐµÐ²Ð¾Ð·ÐºÐ¸
ÐÐ°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¿Ð°ÑÑÐ°Ð¶Ð¸ÑÐ¾Ð¿Ð¾ÑÐ¾Ðº
Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²ÐºÐ°
passenger flow
design

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description: This final qualifying work is devoted to the optimization of the operation of a sea passenger terminal with an increase in passenger traffic using a neural network. In the course of this work, general information were discussed about sea passenger terminals, their development in Russia, the problems of modern sea passenger terminals, were analyzed the authors works on the possibility of optimization and a solution was proposed for creating a simulation model of a sea passenger terminal to identify problem areas, an environment was selected for simulation modeling â AnyLogic. To create the model, the required areas were calculated, and based on the areas, the layout of the sea passenger terminal was made. Based on the layout, a simulation model was created, upon analysis of which it was concluded that the problem area was the queue for entrance control. To solve this problem, it was decided to write a neural network - a selector, which will distribute passengers into queues. After training the neural network, optimal results were obtained for distributing passengers to queue counters for each given time interval. Based on data on the distribution of passengers obtained using a neural network, a secondary simulation model was created, which accelerated the passage of pre-trip operations for passengers in comparison with previous versions of the model. A conclusion has been made about the feasibility of introducing technologies using neural networks in the field of marine passenger terminals, and a possible idea has been formulated on the use of this technology in practice.