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Моделирование дорожного движения в среде AnyDynamics

выпускная квалификационная работа бакалавра

Моделирование дорожного движения в среде AnyDynamics

Abstract

В работе рассмотрены основные модели макроскопического и микроскопического моделирования дорожного движения. Создана модель дорожного движения для среды моделирования AnyDynamics. Описаны классы модели и их взаимодействие. Для создания модели был выбран микроскопический подход и математическая модель с безопасным расстоянием Гиппса. С помощью модели была решена задача регулирования светофорных фаз. Была проверена возможность использования встроенного в среду оптимизатора для решения задачи. Для проверки созданной модели рассматривалась аналогичная модель в среде AnyLogic. Был проведён сравнительный анализ построенных моделей и процесса моделирования в двух средах. Представлены результаты количественного сравнения моделей. Выделены преимущества и недостатки AnyDynamics. Даны рекомендации по дальнейшему развитию построенной модели дорожного движения.

The paper considers the main models of macroscopic and microscopic modeling of road traffic. Created a traffic model for the AnyDynamics simulation tool. The classes of the model and their interaction are described. To create the model, a microscopic approach and Gipps safety distance mathematical model were chosen. The model was used to solve the problem of regulating traffic light phases. The possibility of using the optimizer built into the AnyDynamics for solving the problem was tested. To check the created model, a similar model in the AnyLogic tool was considered. A comparative analysis of the constructed models and the modeling process in two tools was carried out. The results of a quantitative comparison of the models are presented. The advantages and disadvantages of AnyDynamics are specified. Recommendations for the further development of the constructed road traffic model are given.

Keywords

road traffic simulation, моделирование дорожного движения, traffic light phases regulation, simulation modeling, имитационное моделирование, регулирование ÑÐ²ÐµÑ‚Ð¾Ñ„Ð¾Ñ€Ð½Ñ‹Ñ Ñ„Ð°Ð·

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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