Floating Car Data Based Travel Time Prediction with Lomb Periodogram.

Author(s)
Brockfeld, E. Wagner, P. & Sohr, A.
Year
Abstract

Accurate travel time estimations are needed in many intelligent transportation systems (ITS) applications. This work describes a prediction and smoothing algorithm, based on the calculation of the power spectrum of the daily courses from floating car data (FCD). The so called Lomb Periodogram delivers the frequencies, which are needed to describe the daily course with a simple trigonometric function, the function parameters are approximated with the help of singular value decomposition fit (SVD-fit).

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Publication

Library number
C 47034 (In: C 46669 CD-ROM) /72 / ITRD E852561
Source

In: ITS in daily life : proceedings of the 16th World Congress on Intelligent Transport Systems (ITS), Stockholm, Sweden, September 21-25, 2009, 4 p.

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