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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 with data from nearly 300 sensors placed within 74 parking spaces in commercial and passenger loading zones from 1
st to 3
rd avenues and between Battery and Stewart streets in the Belltown neighborhood in downtown Seattle.
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