is presented.
The algorithm uses a combination of several local simplification techniques: changes in direction, perpendicular distance and
distance threshold. To reduce the sensitivity of the algorithm to
errors in GPS data, an algorithm for adaptive filtering of GPS
positions is proposed. It combines: knowledge-based GPS data