TravRes: A method for high-resolution traffic speed reconstruction using GPS-based travel-times

This paper proposes a new method called TravRes for accurate reconstruction of high-resolution (e.g. 500m*60sec) time-space speeds on the basis of sampled low-resolution floating car data. The new method is superior to naïve methods, methods which reconstruct time-space speeds by simply dividing travel distance by travel time between consecutive FCD samples. The new method uses an iterative trajectory reconstruction technique and data consistency approach, and as a result improves estimation accuracy by up to 90% relative to the naive method, particularly at low speeds. In terms of estimated travel times (from these reconstructed speeds), TravRes can improve the accuracy by up to 5 times.