Comfort Adjustment in Longitudinal Vehicle Guidance using Neural Networks

The purpose of this paper is to show a simple ability of a neural network usage in longitudinal vehicle guidance for the comfort adjustment. It gives a short overview of a trajectory generation algorithm as well as comfort adjustment for longitudinal movement using neural networks. The algorithm for longitudinal trajectory generation was implemented in AUDI test vehicle and the results have been shown. Also, two concepts of comfort adjustment using neural networks were also presented. The comfort adjustment was associated with the certain driver tracking style ranging from extremely comfort to extremely sportive ones.