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In this thesis, a convolutional neural network is used to model the behaviour of individual vehicles on a stretch of the U.S. 101 highway during rush hour. This model is then extended to model the collective behaviour of all vehicles on the stretch of road and a 15 minute simulation is carried out. Using an initial vehicle layout, images displaying the position of nearby vehicles and information o
