Researchers at the National Transportation Research Center are using machine learning and AI techniques to analyze truck transportation patterns across the United States. The team is combining truck trip data with population and employment statistics using advanced algorithms to model and predict truck flows between regions. This effort is helping to uncover factors influencing truck transportation, such as the nonlinear relationship between distance and truck trips, providing valuable insights for transportation planning and investment decisions.
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
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