End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications

23 Sep 2020 Arthur Cruz de Araujo Ali Etemad

The acquisition of massive data on parcel delivery motivates postal operators to foster the development of predictive systems to improve customer service. Predicting delivery times successive to being shipped out of the final depot, referred to as last-mile prediction, deals with complicating factors such as traffic, drivers' behaviors, and weather... (read more)

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