Rather than rules-based or statistical forecasting, neural automated forecasting for freight movements relies on artificial intelligence: neural networks detect complex patterns across millions of historical transport records and integrate real-time inputs such as orders, asset availability, weather data, and traffic conditions.
Source: https://www.sciencedirect.com/science/article/pii/S1361920919310452
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