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Prototype PNNL, UW webapp predicts parking space availability for delivery drivers

Prototype PNNL, UW webapp predicts parking space availability for delivery drivers A collaboration between Pacific Northwest National Laboratory (PNNL) and the University of Washington’s Urban Freight Lab has developed a prototype webapp that combines smart sensors and machine learning to predict parking space availability. The prototype is ready for initial testing to help commercial delivery drivers find open spaces without expending fuel and losing time. The webapp combines curbside maps w...
United States University Of Washington Department Of Energy District Of Columbia Giacomo Dalla Chiara Dalla Chiara

From Curb to Doorstep: Driving Efficiencies for Delivering Goods

Date Time From Curb to Doorstep: Driving Efficiencies for Delivering Goods Ten blocks of the Belltown neighborhood in downtown Seattle house an eclectic mix of retail stores, apartments, and restaurants that require daily deliveries of goods-from fresh seafood for the evening’s dinner special to the latest gadget from Amazon Prime. In this bustling and often congested urban area, trucks fully packed with goods are on tight delivery schedules. However, circling the blocks to find an open parki...
United States University Of Washington Department Of Energy District Of Columbia Giacomo Dalla Chiara Vinay Amatya

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