Анализ загруженности трафика на главных улицах электронного города c применением индекса перегрузки и искусственной нейронной сети (на примере города Хамедан)

Заторы на дорогах являются серьезной проблемой для электронных городов, и для решения этой проблемы необходимо анализировать пробки в городской дорожной сети. В этой статье изучается показатель эффективности транспортных средств для оценки условий дорожных сетей. В нашем исследовании исследуется плотность трафика главной дорожной сети города Хамедан на основе данных о скорости, собранных системой управления движением Хамедана. На основе этого анализа были определены индекс трафика и пиковые часы трафика. Кроме того, с использованием нейронной сети и генетического алгоритма была определена предсказуемая связь между скоростью транспортных средств и загруженностью трафика. В работе использовались данные Центра управления движением Хамедана о скорости движения транспортных средств в густонаселенных районах.

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