«РАЗРАБОТКА ИНТЕГРИРОВАННОЙ МОДЕЛИ ПРИНЯТИЯ РЕШЕНИЙ ДЛЯ ИНТЕЛЛЕКТУАЛЬНЫХ ТРАНСПОРТНЫХ СИСТЕМ УМНОГО ГОРОДА НА ОСНОВЕ ТЕХНОЛОГИЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА И ЦИФРОВОГО ДВОЙНИКА»
DOI :
https://doi.org/10.5281/zenodo.17430473Résumé
В тезисе рассматривается разработка интегрированной модели принятия решений для интеллектуальных транспортных систем умного города. Предложенная архитектура объединяет технологии искусственного интеллекта (AI) и цифрового двойника (Digital Twin), что обеспечивает комплексный анализ, прогнозирование и оптимизацию транспортных потоков в реальном времени.
Модель позволяет на основе данных IoT-сенсоров, GPS и видеонаблюдения снижать заторы на 20–25 %, сокращать время реакции на инциденты на 30 % и повышать точность прогнозов до 94 %.
Реализация подхода способствует повышению безопасности дорожного движения, снижению выбросов CO₂ и развитию устойчивой цифровой городской среды
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