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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.
Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.
A novel approach was applied for the preparation of polymer membranes having CO2-philic group for CO2 separation.