An intelligent system powered by GIS and machine learning integrates different data sources to create new understandings of transportation operations based on aggregated trucking activities.

Learning Objectives:

• Machine learning can identify and characterize clusters of trucking activity
• Aggregated data shows the amount and efficiency of freight flows along lanes
• Basemaps and macroeconomic data provide additional context