Abstract: Disclosed herein are methods, systems and computer program products for predicting a cellular traffic load in a certain geographical area deployed with a plurality of network infrastructure apparatuses by identifying in-motion vehicular cellular devices moving in the certain geographical area and using one or more trained Machine Learning (ML) Models to predict the future cellular traffic load for one or more of the plurality of network infrastructure apparatuses based on an estimated future location of the vehicular cellular devices and a predicted cellular data consumption of the vehicular cellular devices. The future cellular traffic load may be provided to one or more cellular traffic management systems which may take one or more actions in advance based on the predicted future cellular traffic load.

Abstract: A plastic liner having a second, deformed shape, and having a memory of a first, undeformed memory shape, the deformation in the deformed shape comprising one or more deformations, at least one of which is a twist deformation consisting of alternate left-right twists along the liner.