ИНТЕГРАЦИЯ МЕТОДОВ КОГНИТИВНОГО АНАЛИЗА В СИСТЕМУ ОЦЕНКИ БЕЗОПАСНОСТИ ДОРОЖНОЙ ИНФРАСТРУКТУРЫ
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Abstract
Представлен инновационный подход к оценке опасности участков автомобильных дорог, основанный на интеграции методов когнитивного моделирования и нечеткой логики. Предложена комплексная методика, позволяющая учитывать широкий спектр количественных и качественных характеристик дорожных условий, а также моделировать сложные нелинейные взаимосвязи между различными факторами риска. Разработанный подход включает несколько ключевых этапов: построение детализированной когнитивной карты, отражающей структуру взаимосвязей между факторами безопасности; формализацию факторов опасности с использованием аппарата нечетких множеств; алгоритм анализа рисков, основанный на импульсном моделировании. Отмечены перспективные направления дальнейших исследований, включая интеграцию разработанного подхода с геоинформационными системами, применение методов машинного обучения для автоматической настройки параметров модели и разработку динамических когнитивных карт, способных адаптироваться к изменяющимся условиям в реальном времени.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
D. KAPSKI, Belarusian National Technical University, Minsk
д-р техн наук, проф.
S. BOGDANOVICH, Belarusian National Technical University, Minsk
канд. техн. наук, доц.
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